Deléger L, Grouin C, Zweigenbaum P. Extracting medical information from narrative patient records: the case of medication-related information [Internet]. Journal of the American Medical Informatics Association 2010;17(5):555-558. https://doi.org/10.1136/jamia.2010.003962

Meystre SM, Thibault J, Shen S, Hurdle JF, South BR. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents [Internet]. Journal of the American Medical Informatics Association 2010;17(5):559-562. https://doi.org/10.1136/jamia.2010.004028

Li Z, Liu F, Antieau L, Cao Y, Yu H. Lancet: a high precision medication event extraction system for clinical text [Internet]. Journal of the American Medical Informatics Association 2010;17(5):563-567. https://doi.org/10.1136/jamia.2010.004077

Uzuner Ö. Recognizing Obesity and Comorbidities in Sparse Data [Internet]. Journal of the American Medical Informatics Association 2009;16(4):561-570. https://doi.org/10.1197/jamia.M3115

Childs LC, Enelow R, Simonsen L, Heintzelman NH, Kowalski KM, Taylor RJ. Description of a Rule-based System for the i2b2 Challenge in Natural Language Processing for Clinical Data [Internet]. Journal of the American Medical Informatics Association 2009;16(4):571-575. https://doi.org/10.1197/jamia.M3083

Mishra NK, Cummo DM, Arnzen JJ, Bonander J. A Rule-based Approach for Identifying Obesity and Its Comorbidities in Medical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2009;16(4):576-579. https://doi.org/10.1197/jamia.M3086

Solt I, Tikk D, Gál V, Kardkovács ZT. Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier [Internet]. Journal of the American Medical Informatics Association 2009;16(4):580-584. https://doi.org/10.1197/jamia.M3087

Ware H, Mullett CJ, Jagannathan V. Natural Language Processing Framework to Assess Clinical Conditions [Internet]. Journal of the American Medical Informatics Association 2009;16(4):585-589. https://doi.org/10.1197/jamia.M3091

Ambert KH, Cohen AM. A System for Classifying Disease Comorbidity Status from Medical Discharge Summaries Using Automated Hotspot and Negated Concept Detection [Internet]. Journal of the American Medical Informatics Association 2009;16(4):590-595. https://doi.org/10.1197/jamia.M3095

Yang H, Spasic I, Keane JA, Nenadic G. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2009;16(4):596-600. https://doi.org/10.1197/jamia.M3096

Farkas R, Szarvas G, Hegedűs I, Almási A, Vincze V, Ormándi R, Busa-Fekete R. Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts [Internet]. Journal of the American Medical Informatics Association 2009;16(4):601-605. https://doi.org/10.1197/jamia.M3097

Friedlin FJ, McDonald CJ. A Software Tool for Removing Patient Identifying Information from Clinical Documents [Internet]. Journal of the American Medical Informatics Association 2008;15(5):601-610. https://doi.org/10.1197/jamia.M2702

Uzuner Ö, Goldstein I, Luo Y, Kohane I. Identifying Patient Smoking Status from Medical Discharge Records [Internet]. Journal of the American Medical Informatics Association 2008;15(1):14-24. https://doi.org/10.1197/jamia.M2408

Savova GK, Ogren PV, Duffy PH, Buntrock JD, Chute CG. Mayo Clinic NLP System for Patient Smoking Status Identification [Internet]. Journal of the American Medical Informatics Association 2008;15(1):25-28. https://doi.org/10.1197/jamia.M2437

Wicentowski R, Sydes MR. Using Implicit Information to Identify Smoking Status in Smoke-blind Medical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2008;15(1):29-31. https://doi.org/10.1197/jamia.M2440

Cohen AM. Five-way Smoking Status Classification Using Text Hot-Spot Identification and Error-correcting Output Codes [Internet]. Journal of the American Medical Informatics Association 2008;15(1):32-35. https://doi.org/10.1197/jamia.M2434

Clark C, Good K, Jezierny L, Macpherson M, Wilson B, Chajewska U. Identifying Smokers with a Medical Extraction System [Internet]. Journal of the American Medical Informatics Association 2008;15(1):36-39. https://doi.org/10.1197/jamia.M2442

Heinze DT, Morsch ML, Potter BC, Sheffer RE. Medical i2b2 NLP Smoking Challenge: The A-Life System Architecture and Methodology [Internet]. Journal of the American Medical Informatics Association 2008;15(1):40-43. https://doi.org/10.1197/jamia.M2438

Uzuner Ö, Luo Y, Szolovits P. Evaluating the State-of-the-Art in Automatic De-identification [Internet]. Journal of the American Medical Informatics Association 2007;14(5):550-563. https://doi.org/10.1197/jamia.M2444

Wellner B, Huyck M, Mardis S, Aberdeen J, Morgan A, Peshkin L, Yeh A, Hitzeman J, Hirschman L. Rapidly Retargetable Approaches to De-identification in Medical Records [Internet]. Journal of the American Medical Informatics Association 2007;14(5):564-573. https://doi.org/10.1197/jamia.M2435