%0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Advancing the state of the art in automatic extraction of adverse drug events from narratives %A Özlem Uzuner %A Amber Stubbs %A Leslie Lenert %B Journal of the American Medical Informatics Association %V 27 %G eng %U https://doi.org/10.1093/jamia/ocz206 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records %A Sam Henry %A Buchan, Kevin %A Michele Filannino %A Amber Stubbs %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 27 %P 3-12 %G eng %U https://doi.org/10.1093/jamia/ocz166 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T A study of deep learning approaches for medication and adverse drug event extraction from clinical text %A Qiang Wei %A Zongcheng Ji %A Zhiheng Li %A Jingcheng Du %A Jingqi Wang %A Xu, Jun %A Xiang, Yang %A Firat Tiryaki %A Wu, Stephen %A Yaoyun Zhang %A Cui Tao %A Xu, Hua %B Journal of the American Medical Informatics Association %V 27 %P 13-21 %G eng %U https://doi.org/10.1093/jamia/ocz063 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T An ensemble of neural models for nested adverse drug events and medication extraction with subwords %A Meizhi Ju %A Nhung T H Nguyen %A Makoto Miwa %A Sophia Ananiadou %B Journal of the American Medical Informatics Association %V 27 %P 22-30 %G eng %U https://doi.org/10.1093/jamia/ocz075 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Ensemble method–based extraction of medication and related information from clinical texts %A Youngjun Kim %A Stéphane M Meystre %B Journal of the American Medical Informatics Association %V 27 %P 31-38 %G eng %U https://doi.org/10.1093/jamia/ocz100 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods %A Fenia Christopoulou %A Thy Thy Tran %A Sunil Kumar Sahu %A Makoto Miwa %A Sophia Ananiadou %B Journal of the American Medical Informatics Association %V 27 %P 39-46 %G eng %U https://doi.org/10.1093/jamia/ocz101 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings %A Hong-Jie Dai %A Chu-Hsien Su %A Chi-Shin Wu %B Journal of the American Medical Informatics Association %V 27 %P 47-55 %G eng %U https://doi.org/10.1093/jamia/ocz120 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning %A Chen, Long %A Yu Gu %A Xin Ji %A Zhiyong Sun %A Haodan Li %A Gao, Yuan %A Yang Huang %B Journal of the American Medical Informatics Association %V 27 %P 56-64 %G eng %U https://doi.org/10.1093/jamia/ocz141 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2020 %T Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting %A Xi Yang %A Jiang Bian %A Ruogu Fang %A Ragnhildur I Bjarnadottir %A William R Hogan %A Yonghui Wu %B Journal of the American Medical Informatics Association %V 27 %P 65-72 %G eng %U https://doi.org/10.1093/jamia/ocz144 %N 1 %0 Journal Article %J Journal of Biomedical Informatics %D 2020 %T Multiple features for clinical relation extraction: A machine learning approach %A Ilseyar Alimova %A Elena Tutubalina %B Journal of Biomedical Informatics %V 103 %G eng %U https://doi.org/10.1016/j.jbi.2020.103382 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs) %A Yifu Li %A Ran Jin %A Yuan Luo %B Journal of the American Medical Informatics Association %V 26 %P 262-268 %G eng %U https://doi.org/10.1093/jamia/ocy157 %N 3 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models %A Fei Li %A Hong Yu %B Journal of the American Medical Informatics Association %V 26 %P 646-654 %G eng %U https://doi.org/10.1093/jamia/ocz018 %N 7 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Enhancing clinical concept extraction with contextual embeddings %A Yuqi Si %A Jingqi Wang %A Xu, Hua %A Kirk Roberts %B Journal of the American Medical Informatics Association %V 26 %P 1297-1304 %G eng %U https://doi.org/10.1093/jamia/ocz096 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T New approaches to cohort selection %A Amber Stubbs %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 26 %P 1161-1162 %G eng %U https://doi.org/10.1093/jamia/ocz174 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Cohort selection for clinical trials: n2c2 2018 shared task track 1 %A Amber Stubbs %A Michele Filannino %A Ergin Soysal %A Samuel Henry %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 26 %P 1163–1171 %G eng %U https://doi.org/10.1093/jamia/ocz163 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Hybrid bag of approaches to characterize selection criteria for cohort identification %A V.G. Vinod Vydiswaran %A Asher Strayhorn %A Xinyan Zhao %A Phil Robinson %A Mahesh Agarwal %A Erin Bagazinski %A Madia Essiet %A Bradley E Iott %A Hyeon Joo %A PingJui Ko %A Dahee Lee %A Jin Xiu Lu %A Jinghui Liu %A Adharsh Murali %A Koki Sasagawa %A Tianshi Wang %A Nalingna Yuan %B Journal of the American Medical Informatics Association %V 26 %P 1172-1180 %G eng %U https://doi.org/10.1093/jamia/ocz079 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Cohort selection for clinical trials using deep learning models %A Isabel Segura-Bedmar %A Pablo Raez %B Journal of the American Medical Informatics Association %V 26 %P 1181–1188 %G eng %U https://doi.org/10.1093/jamia/ocz139 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Cohort selection for clinical trials using hierarchical neural network %A Ying Xiong %A Xue Shi %A Shuai Chen %A Dehuan Jiang %A Buzhou Tang %A Xiaolong Wang %A Qingcai Chen %A Jun Yan %B Journal of the American Medical Informatics Association %V 26 %P 1203-1208 %G eng %U https://doi.org/10.1093/jamia/ocz099 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Clinical trial cohort selection based on multi-level rule-based natural language processing system %A Chen, Long %A Yu Gu %A Xin Ji %A Chao Lou %A Zhiyong Sun %A Haodan Li %A Gao, Yuan %A Yang Huang %B Journal of the American Medical Informatics Association %V 26 %P 1218–1226 %G eng %U https://doi.org/10.1093/jamia/ocz109 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Medical knowledge infused convolutional neural networks for cohort selection in clinical trials %A Chen, Chi-Jen %A Neha Warikoo %A Yung-Chun Chang %A Jin-Hua Chen %A Wen-Lian Hsu %B Journal of the American Medical Informatics Association %V 26 %P 1227-1236 %G eng %U https://doi.org/10.1093/jamia/ocz128 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2019 %T Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification %A Michel Oleynik %A Amila Kugic %A Zdenko Kasáč %A Markus Kreuzthaler %B Journal of the American Medical Informatics Association %V 26 %P 1247-1254 %G eng %U https://doi.org/10.1093/jamia/ocz149 %N 11 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2018 %T CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines %A Ergin Soysal %A Jingqi Wang %A Min Jiang %A Yonghui Wu %A Serguei Pakhomov %A Hongfang Liu %A Xu, Hua %B Journal of the American Medical Informatics Association %V 25 %P 331-336 %G eng %U https://doi.org/10.1093/jamia/ocx132 %N 3 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2018 %T Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes %A Yuan Luo %A Yu Cheng %A Özlem Uzuner %A Szolovits, Peter %A Justin Starren %B Journal of the American Medical Informatics Association %V 25 %P 93-98 %G eng %U https://doi.org/10.1093/jamia/ocx090 %N 1 %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry %A Özlem Uzuner %A Amber Stubbs %A Michele Filannino %B Journal of Biomedical Informatics %V 75 %P S1-S3 %G eng %U https://doi.org/10.1016/j.jbi.2017.10.005 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1 %A Amber Stubbs %A Michele Filannino %A Özlem Uzuner %B Journal of Biomedical Informatics %V 75 %P S4-S18 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.011 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T A hybrid approach to automatic de-identification of psychiatric notes %A Hee-Jin Lee %A Yonghui Wu %A Yaoyun Zhang %A Xu, Jun %A Xu, Hua %A Kirk Roberts %B Journal of Biomedical Informatics %V 75 %P S19-S27 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.006 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes %A Azad Dehghan %A Aleksandar Kovacevic %A George Karystianis %A John A Keane %A Goran Nenadic %B Journal of Biomedical Informatics %V 75 %P S28-S33 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.005 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T De-identification of clinical notes via recurrent neural network and conditional random field %A Zengjian Liu %A Buzhou Tang %A Xiaolong Wang %A Qingcai Chen %B Journal of Biomedical Informatics %V 75 %P S34-S42 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.023 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T De-identification of medical records using conditional random fields and long short-term memory networks %A Jiang, Zhipeng %A Zhao, Chao %A He, Bin %A Guan, Yi %A Jiang, Jingchi %B Journal of Biomedical Informatics %V 75 %P S43-S53 %G eng %U https://doi.org/10.1016/j.jbi.2017.10.003 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge %A Bui, Duy Duc An %A Wyatt, Mathew %A Cimino, James J %B Journal of Biomedical Informatics %V 75 %P S54-S61 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.001 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2 %A Michele Filannino %A Amber Stubbs %A Özlem Uzuner %B Journal of Biomedical Informatics %V 75 %P S62-S70 %G eng %U https://doi.org/10.1016/j.jbi.2017.04.017 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Automatic recognition of symptom severity from psychiatric evaluation records %A Goodwin, Travis R %A Ramon Maldonado %A Harabagiu, Sanda M %B Journal of Biomedical Informatics %V 75 %P S71-S84 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.020 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores %A Rios, Anthony %A Kavuluru, Ramakanth %B Journal of Biomedical Informatics %V 75 %P S85-S93 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.008 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records %A Posada, Jose D %A Barda, Amie J %A Lingyun Shi %A Diyang Xue %A Victor Ruiz %A Pei-Han Kuan %A Ryan, Neal D %A Tsui, Fuchiang Rich %B Journal of Biomedical Informatics %V 75 %P S94-S104 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.019 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Symptom severity classification with gradient tree boosting %A Liu, Yang %A Yu Gu %A John Chu Nguyen %A Haodan Li %A Jiawei Zhang %A Gao, Yuan %A Yang Huang %B Journal of Biomedical Informatics %V 75 %P S105-S111 %G eng %U https://doi.org/10.1016/j.jbi.2017.05.015 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reports %A Elyne Scheurwegs %A Madhumita Sushil %A Stéphan Tulkens %A Walter Daelemans %A Kim Luyckx %B Journal of Biomedical Informatics %V 75 %P S112-S119 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.007 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Automatic classification of RDoC positive valence severity with a neural network %A Cheryl Clark %A Ben Wellner %A Rachel Davis %A John Aberdeen %A Lynette Hirschman %B Journal of Biomedical Informatics %V 75 %P S120-S128 %G eng %U https://doi.org/10.1016/j.jbi.2017.07.005 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge %A Yaoyun Zhang %A Zhang, Olivia %A Yonghui Wu %A Hee-Jin Lee %A Xu, Jun %A Xu, Hua %A Kirk Roberts %B Journal of Biomedical Informatics %V 75 %P S129-S137 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.014 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Predicting mental conditions based on "history of present illness" in psychiatric notes with deep neural networks %A Tran, Tung %A Kavuluru, Ramakanth %B Journal of Biomedical Informatics %V 75 %P S138-S148 %G eng %U https://doi.org/10.1016/j.jbi.2017.06.010 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2017 %T Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients %A Hong-Jie Dai %A Emily Chia-Yu Su %A Mohy Uddin %A Jitendra Jonnagaddala %A Chi-Shin Wu %A Shabbir Syed-Abdul %B Journal of Biomedical Informatics %V 75 %P S149-S159 %G eng %U https://doi.org/10.1016/j.jbi.2017.08.009 %N Supplement %0 Journal Article %J Journal of the American Medical Informatics Association %D 2016 %T Active learning: a step towards automating medical concept extraction %A Mahnoosh Kholghi %A Laurianne Sitbon %A Guido Zuccon %A Anthony Nguyen %B Journal of the American Medical Informatics Association %V 23 %P 289-296 %G eng %U https://doi.org/10.1093/jamia/ocv069 %N 2 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2016 %T Multilayered temporal modeling for the clinical domain %A Lin, Chen %A Dligach, Dmitriy %A Miller, Timothy A %A Bethard, Steven %A Savova, Guergana K %B Journal of the American Medical Informatics Association %V 23 %P 387-395 %G eng %U https://doi.org/10.1093/jamia/ocv113 %N 2 %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks %A Özlem Uzuner %A Amber Stubbs %B Journal of Biomedical Informatics %V 58 %P S1-S5 %G eng %U https://doi.org/10.1016/j.jbi.2015.10.007 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Creation of a new longitudinal corpus of clinical narratives %A Vishesh Kumar %A Amber Stubbs %A Stanley Shaw %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S6-S10 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.018 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1 %A Amber Stubbs %A Christopher Kotfila %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S11-S19 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.007 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus %A Amber Stubbs %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S20-S29 %G eng %U https://doi.org/10.1016/j.jbi.2015.07.020 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Automatic detection of protected health information from clinic narratives %A Yang, Hui %A Jonathan M. Garibaldi %B Journal of Biomedical Informatics %V 58 %P S30-S38 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.015 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T CRFs based de-identification of medical records %A He, Bin %A Jianyi Cheng %A Keting Cen %A Wenlan Hua %B Journal of Biomedical Informatics %V 58 %P S39-S46 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.012 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Automatic de-identification of electronic medical records using token-level and character-level conditional random fields %A Zengjian Liu %A Yangxin Chen %A Buzhou Tang %A Xiaolong Wang %A Qingcai Chen %A Haodi Li %A Wang, Jingfeng %A Qiwen Deng %A Suisong Zhu %B Journal of Biomedical Informatics %V 58 %P S47-S52 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.009 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Combining knowledge- and data-driven methods for de-identification of clinical narratives %A Azad Dehghan %A Aleksandar Kovacevic %A George Karystianis %A John A. Keane %A Goran Nenadic %B Journal of Biomedical Informatics %V 58 %P S53-S59 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.029 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Hidden Markov model using Dirichlet process for de-identification %A Chen, Tao %A Richard M. Cullen %A Marshall Godwin %B Journal of Biomedical Informatics %V 58 %P S60-S66 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.004 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2 %A Amber Stubbs %A Christopher Kotfila %A Xu, Hua %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S67-S77 %G eng %U https://doi.org/10.1016/j.jbi.2015.07.001 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Annotating risk factors for heart disease in clinical narratives for diabetic patients %A Amber Stubbs %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S78-S91 %G eng %U https://doi.org/10.1016/j.jbi.2015.05.009 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases %A Christopher Kotfila %A Özlem Uzuner %B Journal of Biomedical Informatics %V 58 %P S92-S102 %G eng %U https://doi.org/10.1016/j.jbi.2015.07.016 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Comparison of UMLS terminologies to identify risk of heart disease using clinical notes %A Chaitanya Shivade %A Pranav Malewadkar %A Eric Fosler-Lussier %A Albert M. Lai %B Journal of Biomedical Informatics %V 58 %P S103-S110 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.025 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs %A Kirk Roberts %A Sonya E. Shooshan %A Laritza Rodriguez %A Swapna Abhyankar %A Halil Kilicoglu %A Dina Demner-Fushman %B Journal of Biomedical Informatics %V 58 %P S111-S119 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.010 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge %A James Cormack %A Chinmoy Nath %A David Milward %A Kalpana Raja %A Siddhartha R. Jonnalagadda %B Journal of Biomedical Informatics %V 58 %P S120-S127 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.030 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes %A Abdulrahman Khalifa %A Stéphane Meystre %B Journal of Biomedical Informatics %V 58 %P S128-S132 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.002 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Combining glass box and black box evaluations in the identification of heart disease risk factors and their temporal relations from clinical records %A Cyril Grouin %A Véronique Moriceau %A Pierre Zweigenbaum %B Journal of Biomedical Informatics %V 58 %P S133-S142 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.014 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models %A Jay Urbain %B Journal of Biomedical Informatics %V 58 %P S143-149 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.009 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T A context-aware approach for progression tracking of medical concepts in electronic medical records %A Nai-Wen Chang %A Hong-Jie Dai %A Jitendra Jonnagaddala %A Chih-Wei Chen %A Richard Tzong-Han Tsai %A Wen-Lian Hsu %B Journal of Biomedical Informatics %V 58 %P S150-S157 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.013 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T An automatic system to identify heart disease risk factors in clinical texts over time %A Qingcai Chen %A Haodi Li %A Buzhou Tang %A Xiaolong Wang %A Liu, Xin %A Zengjian Liu %A Shu Liu %A Weida Wang %A Qiwen Deng %A Suisong Zhu %A Yangxin Chen %A Wang, Jingfeng %B Journal of Biomedical Informatics %V 58 %P S158-S163 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.002 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Risk factor detection for heart disease by applying text analytics in electronic medical records %A Manabu Torii %A Jung-wei Fan %A Wei-li Yang %A Theodore Lee %A Matthew T. Wiley %A Daniel S. Zisook %A Yang Huang %B Journal of Biomedical Informatics %V 58 %P S164-S170 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.011 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T A hybrid model for automatic identification of risk factors for heart disease %A Yang, Hui %A Jonathan M. Garibaldi %B Journal of Biomedical Informatics %V 58 %P S171-182 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.006 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Using local lexicalized rules to identify heart disease risk factors in clinical notes %A George Karystianis %A Azad Dehghan %A Aleksandar Kovacevic %A John A. Keane %A Goran Nenadic %B Journal of Biomedical Informatics %V 58 %P S183-S188 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.013 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Ease of adoption of clinical natural language processing software: An evaluation of five systems %A Kai Zheng %A V.G. Vinod Vydiswaran %A Liu, Yang %A Wang, Yue %A Amber Stubbs %A Özlem Uzuner %A Anupama E. Gururaj %A Samuel Bayer %A John Aberdeen %A Anna Rumshisky %A Serguei Pakhomov %A Hongfang Liu %A Xu, Hua %B Journal of Biomedical Informatics %V 58 %P S189-S196 %G eng %U https://doi.org/10.1016/j.jbi.2015.07.008 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Predicting changes in systolic blood pressure using longitudinal patient records %A John Wes Solomon %A Rodney D. Nielsen %B Journal of Biomedical Informatics %V 58 %P S197-S202 %G eng %U https://doi.org/10.1016/j.jbi.2015.06.024 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Coronary artery disease risk assessment from unstructured electronic health records using text mining %A Jitendra Jonnagaddala %A Siaw-Teng Liaw %A Pradeep Ray %A Manish Kumar %A Nai-Wen Chang %A Hong-Jie Dai %B Journal of Biomedical Informatics %V 58 %P S203-S210 %G eng %U https://doi.org/10.1016/j.jbi.2015.08.003 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2015 %T Textual inference for eligibility criteria resolution in clinical trials %A Chaitanya Shivade %A Courtney Hebert %A Marcelo Lopetegui %A Marie-Catherine de Marneffe %A Eric Fosler-Lussier %A Albert M. Lai %B Journal of Biomedical Informatics %V 58 %P S211-S218 %G eng %U https://doi.org/10.1016/j.jbi.2015.09.008 %N Supplement %0 Journal Article %J Journal of the American Medical Informatics Association %D 2015 %T Evaluating the state of the art in disorder recognition and normalization of the clinical narrative %A Pradhan, Sameer %A Noémie Elhadad %A Brett R South %A David Martinez %A Lee Christensen %A Amy Vogel %A Hanna Suominen %A Chapman, Wendy W %A Savova, Guergana %B Journal of the American Medical Informatics Association %V 22 %P 143-154 %G eng %U https://doi.org/10.1136/amiajnl-2013-002544 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2015 %T Functional evaluation of out-of-the-box text-mining tools for data-mining tasks %A Kenneth Jung %A Paea LePendu %A Srinivasan Iyer %A Bauer-Mehren, Anna %A Bethany Percha %A Nigam H Shah %B Journal of the American Medical Informatics Association %V 22 %P 121-131 %G eng %U https://doi.org/10.1136/amiajnl-2014-002902 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2015 %T Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries %A Ching-Heng Lin %A Nai-Yuan Wu %A Wei-Shao Lai %A Der-Ming Liou %B Journal of the American Medical Informatics Association %V 22 %P 132-142 %G eng %U https://doi.org/10.1136/amiajnl-2014-002991 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2015 %T Normalization of relative and incomplete temporal expressions in clinical narratives %A Weiyi Sun %A Anna Rumshisky %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 22 %P 1001-1008 %G eng %U https://doi.org/10.1093/jamia/ocu004 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Evaluating temporal relations in clinical text: 2012 i2b2 Challenge %A Weiyi Sun %A Anna Rumshisky %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 20 %P 806-813 %G eng %U https://doi.org/10.1136/amiajnl-2013-001628 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Temporal reasoning over clinical text: the state of the art %A Weiyi Sun %A Anna Rumshisky %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 20 %P 814-819 %G eng %U https://doi.org/10.1136/amiajnl-2013-001760 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Eventual situations for timeline extraction from clinical reports %A Cyril Grouin %A Natalia Grabar %A Thierry Hamon %A Sophie Rosset %A Xavier Tannier %A Pierre Zweigenbaum %B Journal of the American Medical Informatics Association %V 20 %P 820-827 %G eng %U https://doi.org/10.1136/amiajnl-2013-001627 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T A hybrid system for temporal information extraction from clinical text %A Buzhou Tang %A Yonghui Wu %A Min Jiang %A Chen, Yukun %A Denny, Joshua C %A Xu, Hua %B Journal of the American Medical Informatics Association %V 20 %P 828-835 %G eng %U https://doi.org/10.1136/amiajnl-2013-001635 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification %A Sunghwan Sohn %A Kavishwar Wagholikar %A Li, Dingcheng %A Siddhartha R Jonnalagadda %A Cui Tao %A Ravikumar Komandur Elayavilli %A Hongfang Liu %B Journal of the American Medical Informatics Association %V 20 %P 836-842 %G eng %U https://doi.org/10.1136/amiajnl-2013-001622 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge %A Colin Cherry %A Xiaodan Zhu %A Joel Martin %A Berry de Bruijn %B Journal of the American Medical Informatics Association %V 20 %P 843-848 %G eng %U https://doi.org/10.1136/amiajnl-2013-001624 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge %A Xu, Yan %A Yining Wang %A Tianren Liu %A Junichi Tsujii %A Eric I-Chao Chang %B Journal of the American Medical Informatics Association %V 20 %P 849-858 %G eng %U https://doi.org/10.1136/amiajnl-2012-001607 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives %A Aleksandar Kovačević %A Azad Dehghan %A Michele Filannino %A John A Keane %A Goran Nenadic %B Journal of the American Medical Informatics Association %V 20 %P 859-866 %G eng %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text %A Kirk Roberts %A Bryan Rink %A Harabagiu, Sanda M %B Journal of the American Medical Informatics Association %V 20 %P 867-875 %G eng %U https://doi.org/10.1136/amiajnl-2013-001619 %N 5 %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Chronology of your health events: Approaches to extracting temporal relations from medical narratives %A Özlem Uzuner %A Amber Stubbs %A Weiyi Sun %B Journal of Biomedical Informatics %V 46 %P S1-S4 %G eng %U https://doi.org/10.1016/j.jbi.2013.11.005 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Annotating temporal information in clinical narratives %A Weiyi Sun %A Anna Rumshisky %A Özlem Uzuner %B Journal of Biomedical Informatics %V 6 %P S5-S12 %G eng %U https://doi.org/10.1016/j.jbi.2013.07.004 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Extraction of events and temporal expressions from clinical narratives %A Prateek Jindal %A Dan Roth %B Journal of Biomedical Informatics %V 46 %P S13-S19 %G eng %U https://doi.org/10.1016/j.jbi.2013.08.010 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T MedTime: A temporal information extraction system for clinical narratives %A Yu-Kai Lin %A Hsinchun Chen %A Randall A. Brown %B Journal of Biomedical Informatics %V 46 %P S20-S28 %G eng %U https://doi.org/10.1016/j.jbi.2013.07.012 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Classifying temporal relations in clinical data: A hybrid, knowledge-rich approach %A Jennifer D’Souza %A Vincent Ng %B Journal of Biomedical Informatics %V 46 %P S29-S39 %G eng %U https://doi.org/10.1016/j.jbi.2013.08.003 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Towards generating a patient’s timeline: Extracting temporal relationships from clinical notes %A Azadeh Nikfarjam %A Ehsan Emadzadeh %A Graciela Gonzalez %B Journal of Biomedical Informatics %V 46 %P S40-S47 %G eng %U https://doi.org/10.1016/j.jbi.2013.11.001 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T Temporal relation discovery between events and temporal expressions identified in clinical narrative %A Yao Cheng %A Anick, Peter %A Hong, Pengyu %A Xue, Nianwen %B Journal of Biomedical Informatics %V 46 %P S48-S53 %G eng %U https://doi.org/10.1016/j.jbi.2013.09.010 %N Supplement %0 Journal Article %J Journal of Biomedical Informatics %D 2013 %T TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries %A Yung-Chun Chang %A Hong-Jie Dai %A Johnny Chi-Yang Wu %A Jian-Ming Chen %A Richard Tzong-Han Tsai %A Wen-Lian Hsu %B Journal of Biomedical Informatics %V 46 %P S54-S62 %G eng %U https://doi.org/10.1016/j.jbi.2013.09.007 %N Supplement %0 Journal Article %J Journal of the American Medical Informatics Association %D 2013 %T Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives %A Prateek Jindal %A Dan Roth %B Journal of the American Medical Informatics Association %V 20 %P 356-362 %G eng %U https://doi.org/10.1136/amiajnl-2011-000767 %N 2 %0 Journal Article %J Journal of Biomedical Informatics %D 2012 %T Lexical patterns, features and knowledge resources for coreference resolution in clinical notes %A Phil Gooch %A Abdul Roudsari %B Journal of Biomedical Informatics %V 45 %P 901-912 %G eng %U https://doi.org/10.1016/j.jbi.2012.02.012 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T Evaluating the state of the art in coreference resolution for electronic medical records %A Özlem Uzuner %A Andreea Bodnari %A Shuying Shen %A Tyler Forbush %A John Pestian %A Brett R South %B Journal of the American Medical Informatics Association %V 19 %P 786-791 %G eng %U https://doi.org/10.1136/amiajnl-2011-000784 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries %A Xu, Yan %A Kai Hong %A Junichi Tsujii %A Eric I-Chao Chang %B Journal of the American Medical Informatics Association %V 19 %P 824-832 %G eng %U https://doi.org/10.1136/amiajnl-2011-000776 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules %A Siddhartha Reddy Jonnalagadda %A Li, Dingcheng %A Sunghwan Sohn %A Wu, Stephen %A Kavishwar Wagholikar %A Manabu Torii %A Hongfang Liu %B Journal of the American Medical Informatics Association %V 19 %P 867-874 %G eng %U https://doi.org/10.1136/amiajnl-2011-000766 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T A supervised framework for resolving coreference in clinical records %A Bryan Rink %A Kirk Roberts %A Harabagiu, Sanda M %B Journal of the American Medical Informatics Association %V 19 %P 875-882 %G eng %U https://doi.org/10.1136/amiajnl-2012-000810 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T Machine learning-based coreference resolution of concepts in clinical documents %A Henry Ware %A Charles J Mullett %A Vasudevan Jagannathan %A Oussama El-Rawas %B Journal of the American Medical Informatics Association %V 19 %P 883-887 %G eng %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T Coreference resolution of medical concepts in discharge summaries by exploiting contextual information %A Hong-Jie Dai %A Chun-Yu Chen %A Chi-Yang Wu %A Po-Ting Lai %A Richard Tzong-Han Tsai %A Wen-Lian Hsu %B Journal of the American Medical Informatics Association %V 19 %P 888-896 %G eng %U https://doi.org/10.1136/amiajnl-2012-000808 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T A classification approach to coreference in discharge summaries: 2011 i2b2 challenge %A Xu, Yan %A Jiahua Liu %A Jiajun Wu %A Wang, Yue %A Zhuowen Tu %A Jian-Tao Sun %A Junichi Tsujii %A Eric I-Chao Chang %B Journal of the American Medical Informatics Association %V 19 %P 897-905 %G eng %U https://doi.org/10.1136/amiajnl-2011-000734 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2012 %T MCORES: a system for noun phrase coreference resolution for clinical records %A Andreea Bodnari %A Szolovits, Peter %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 19 %P 906-912 %G eng %U https://doi.org/10.1136/amiajnl-2011-000591 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions %A Chapman, Wendy W %A Prakash M Nadkarni %A Lynette Hirschman %A Leonard W D'Avolio %A Savova, Guergana K %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 18 %P 540-543 %G eng %U https://doi.org/10.1136/amiajnl-2011-000465 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text %A Özlem Uzuner %A Brett R South %A Shuying Shen %A Scott L DuVall %B Journal of the American Medical Informatics Association %V 18 %P 552-556 %G eng %U https://doi.org/10.1136/amiajnl-2011-000203 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 %A Berry de Bruijn %A Colin Cherry %A Svetlana Kiritchenko %A Joel Martin %A Xiaodan Zhu %B Journal of the American Medical Informatics Association %V 18 %P 557-562 %G eng %U https://doi.org/10.1136/amiajnl-2011-000150 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T MITRE system for clinical assertion status classification %A Cheryl Clark %A John Aberdeen %A Matt Coarr %A David Tresner-Kirsch %A Ben Wellner %A Alexander Yeh %A Lynette Hirschman %B Journal of the American Medical Informatics Association %V 18 %P 563-567 %G eng %U https://doi.org/10.1136/amiajnl-2011-000164 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T A flexible framework for deriving assertions from electronic medical records %A Kirk Roberts %A Harabagiu, Sanda M %B Journal of the American Medical Informatics Association %V 18 %P 568-573 %G eng %U https://doi.org/10.1136/amiajnl-2011-000152 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T A knowledge discovery and reuse pipeline for information extraction in clinical notes %A Jon D Patrick %A Dung H M Nguyen %A Yefeng Wang %A Li, Min %B Journal of the American Medical Informatics Association %V 18 %P 574-579 %G eng %U https://doi.org/10.1136/amiajnl-2011-000302 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Using machine learning for concept extraction on clinical documents from multiple data sources %A Manabu Torii %A Kavishwar Wagholikar %A Hongfang Liu %B Journal of the American Medical Informatics Association %V 18 %P 580-587 %G eng %U https://doi.org/10.1136/amiajnl-2011-000155 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification %A Anne-Lyse Minard %A Anne-Laure Ligozat %A Asma Ben Abacha %A Delphine Bernhard %A Bruno Cartoni %A Louise Deléger %A Brigitte Grau %A Sophie Rosset %A Pierre Zweigenbaum %A Cyril Grouin %B Journal of the American Medical Informatics Association %V 18 %P 588-593 %G eng %U https://doi.org/10.1136/amiajnl-2011-000154 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Automatic extraction of relations between medical concepts in clinical texts %A Bryan Rink %A Sanda Harabagiu %A Kirk Roberts %B Journal of the American Medical Informatics Association %V 18 %P 594-600 %G eng %U https://doi.org/10.1136/amiajnl-2011-000153 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries %A Min Jiang %A Chen, Yukun %A Mei Liu %A S Trent Rosenbloom %A Subramani Mani %A Denny, Joshua C %A Xu, Hua %B Journal of the American Medical Informatics Association %V 18 %P 601-606 %G eng %U https://doi.org/10.1136/amiajnl-2011-000163 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2011 %T Automated concept-level information extraction to reduce the need for custom software and rules development %A Leonard W D'Avolio %A Thien M Nguyen %A Goryachev, Sergey %A Louis D Fiore %B Journal of the American Medical Informatics Association %V 18 %P 607-613 %G eng %U https://doi.org/10.1136/amiajnl-2011-000183 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Extracting medication information from clinical text %A Özlem Uzuner %A Imre Solti %A Eithon Cadag %B Journal of the American Medical Informatics Association %V 17 %P 514-518 %G eng %U https://doi.org/10.1136/jamia.2010.003947 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Community annotation experiment for ground truth generation for the i2b2 medication challenge %A Özlem Uzuner %A Imre Solti %A Fei Xia %A Eithon Cadag %B Journal of the American Medical Informatics Association %V 17 %P 519-523 %G eng %U https://doi.org/10.1136/jamia.2010.004200 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge %A Jon Patrick %A Li, Min %B Journal of the American Medical Informatics Association %V 17 %P 524-527 %G eng %U https://doi.org/10.1136/jamia.2010.003939 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Integrating existing natural language processing tools for medication extraction from discharge summaries %A Son Doan %A Bastarache, Lisa %A Sergio Klimkowski %A Denny, Joshua C %A Xu, Hua %B Journal of the American Medical Informatics Association %V 17 %P 528-531 %G eng %U https://doi.org/10.1136/jamia.2010.003855 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Medication information extraction with linguistic pattern matching and semantic rules %A Irena Spasić %A Farzaneh Sarafraz %A John A Keane %A Goran Nenadić %B Journal of the American Medical Informatics Association %V 17 %P 532-535 %G eng %U https://doi.org/10.1136/jamia.2010.003657 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Extracting Rx information from clinical narrative %A James G Mork %A Olivier Bodenreider %A Dina Demner-Fushman %A Rezarta Islamaj Doğan %A François-Michel Lang %A Zhiyong Lu %A Aurélie Névéol %A Lee Peters %A Sonya E Shooshan %A Alan R Aronson %B Journal of the American Medical Informatics Association %V 17 %P 536-539 %G eng %U https://doi.org/10.1136/jamia.2010.003970 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Improving textual medication extraction using combined conditional random fields and rule-based systems %A Domonkos Tikk %A Illés Solt %B Journal of the American Medical Informatics Association %V 17 %P 540-544 %G eng %U https://doi.org/10.1136/jamia.2010.004119 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Automatic extraction of medication information from medical discharge summaries %A Yang, Hui %B Journal of the American Medical Informatics Association %V 17 %P 545-548 %G eng %U https://doi.org/10.1136/jamia.2010.003863 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Linguistic approach for identification of medication names and related information in clinical narratives %A Thierry Hamon %A Natalia Grabar %B Journal of the American Medical Informatics Association %V 17 %P 549-554 %G eng %U https://doi.org/10.1136/jamia.2010.004036 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Extracting medical information from narrative patient records: the case of medication-related information %A Louise Deléger %A Cyril Grouin %A Pierre Zweigenbaum %B Journal of the American Medical Informatics Association %V 17 %P 555-558 %G eng %U https://doi.org/10.1136/jamia.2010.003962 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents %A Stéphane M Meystre %A Julien Thibault %A Shuying Shen %A John F Hurdle %A Brett R South %B Journal of the American Medical Informatics Association %V 17 %P 559-562 %G eng %U https://doi.org/10.1136/jamia.2010.004028 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2010 %T Lancet: a high precision medication event extraction system for clinical text %A Zuofeng Li %A Feifan Liu %A Lamont Antieau %A Yonggang Cao %A Hong Yu %B Journal of the American Medical Informatics Association %V 17 %P 563-567 %G eng %U https://doi.org/10.1136/jamia.2010.004077 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T Recognizing Obesity and Comorbidities in Sparse Data %A Özlem Uzuner %B Journal of the American Medical Informatics Association %V 16 %P 561-570 %G eng %U https://doi.org/10.1197/jamia.M3115 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T Description of a Rule-based System for the i2b2 Challenge in Natural Language Processing for Clinical Data %A Lois C. Childs %A Robert Enelow %A Lone Simonsen %A Norris H. Heintzelman %A Kimberly M. Kowalski %A Robert J. Taylor %B Journal of the American Medical Informatics Association %V 16 %P 571-575 %G eng %U https://doi.org/10.1197/jamia.M3083 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T A Rule-based Approach for Identifying Obesity and Its Comorbidities in Medical Discharge Summaries %A Ninad K. Mishra %A David M. Cummo %A James J. Arnzen %A Jason Bonander %B Journal of the American Medical Informatics Association %V 16 %P 576-579 %G eng %U https://doi.org/10.1197/jamia.M3086 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier %A Illés Solt %A Domonkos Tikk %A Viktor Gál %A Zsolt T. Kardkovács %B Journal of the American Medical Informatics Association %V 16 %P 580-584 %G eng %U https://doi.org/10.1197/jamia.M3087 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T Natural Language Processing Framework to Assess Clinical Conditions %A Henry Ware %A Charles J. Mullett %A V. Jagannathan %B Journal of the American Medical Informatics Association %V 16 %P 585-589 %G eng %U https://doi.org/10.1197/jamia.M3091 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T A System for Classifying Disease Comorbidity Status from Medical Discharge Summaries Using Automated Hotspot and Negated Concept Detection %A Kyle H. Ambert %A Aaron M. Cohen %B Journal of the American Medical Informatics Association %V 16 %P 590-595 %G eng %U https://doi.org/10.1197/jamia.M3095 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries %A Yang, Hui %A Irena Spasic %A John A. Keane %A Goran Nenadic %B Journal of the American Medical Informatics Association %V 16 %P 596-600 %G eng %U https://doi.org/10.1197/jamia.M3096 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2009 %T Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts %A Richárd Farkas %A György Szarvas %A István Hegedűs %A Attila Almási %A Veronika Vincze %A Róbert Ormándi %A Róbert Busa-Fekete %B Journal of the American Medical Informatics Association %V 16 %P 601-605 %G eng %U https://doi.org/10.1197/jamia.M3097 %N 4 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T A Software Tool for Removing Patient Identifying Information from Clinical Documents %A F. Jeff Friedlin %A Clement J. McDonald %B Journal of the American Medical Informatics Association %V 15 %P 601-610 %G eng %U https://doi.org/10.1197/jamia.M2702 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Identifying Patient Smoking Status from Medical Discharge Records %A Özlem Uzuner %A Ira Goldstein %A Yuan Luo %A Kohane, Isaac %B Journal of the American Medical Informatics Association %V 15 %P 14-24 %G eng %U https://doi.org/10.1197/jamia.M2408 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Mayo Clinic NLP System for Patient Smoking Status Identification %A Savova, Guergana K. %A Philip V. Ogren %A Patrick H. Duffy %A James D. Buntrock %A Chute, Christopher G. %B Journal of the American Medical Informatics Association %V 15 %P 25-28 %G eng %U https://doi.org/10.1197/jamia.M2437 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Using Implicit Information to Identify Smoking Status in Smoke-blind Medical Discharge Summaries %A Richard Wicentowski %A Matthew R. Sydes %B Journal of the American Medical Informatics Association %V 15 %P 29-31 %G eng %U https://doi.org/10.1197/jamia.M2440 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Five-way Smoking Status Classification Using Text Hot-Spot Identification and Error-correcting Output Codes %A Aaron M. Cohen %B Journal of the American Medical Informatics Association %V 15 %P 32-35 %G eng %U https://doi.org/10.1197/jamia.M2434 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Identifying Smokers with a Medical Extraction System %A Cheryl Clark %A Kathleen Good %A Lesley Jezierny %A Melissa Macpherson %A Brian Wilson %A Urszula Chajewska %B Journal of the American Medical Informatics Association %V 15 %P 36-39 %G eng %U https://doi.org/10.1197/jamia.M2442 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2008 %T Medical i2b2 NLP Smoking Challenge: The A-Life System Architecture and Methodology %A Daniel T. Heinze %A Mark L. Morsch %A Brian C. Potter %A Ronald E Sheffer %B Journal of the American Medical Informatics Association %V 15 %P 40-43 %G eng %U https://doi.org/10.1197/jamia.M2438 %N 1 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2007 %T Evaluating the State-of-the-Art in Automatic De-identification %A Özlem Uzuner %A Yuan Luo %A Szolovits, Peter %B Journal of the American Medical Informatics Association %V 14 %P 550-563 %G eng %U https://doi.org/10.1197/jamia.M2444 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2007 %T Rapidly Retargetable Approaches to De-identification in Medical Records %A Ben Wellner %A Matt Huyck %A Scott Mardis %A John Aberdeen %A Alex Morgan %A Peshkin, Leonid %A Alexander Yeh %A Janet Hitzeman %A Lynette Hirschman %B Journal of the American Medical Informatics Association %V 14 %P 564-573 %G eng %U https://doi.org/10.1197/jamia.M2435 %N 5 %0 Journal Article %J Journal of the American Medical Informatics Association %D 2007 %T State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework %A György Szarvas %A Richárd Farkas %A Róbert Busa-Fekete %B Journal of the American Medical Informatics Association %V 14 %P 574-580 %G eng %U https://doi.org/10.1197/j.jamia.M2441 %N 5