De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1 Journal Article
Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reports Journal Article
De-identification of clinical notes via recurrent neural network and conditional random field Journal Article
De-identification of medical records using conditional random fields and long short-term memory networks Journal Article
Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients Journal Article
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes Journal Article
A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry Journal Article
Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores Journal Article
Predicting mental conditions based on "history of present illness" in psychiatric notes with deep neural networks Journal Article
