Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text. - Alexander Kotov 001; Mehedi Hasan; April Idalski Carcone; Ming Dong 001; Sylvie Naar-King; Kathryn Brogan Hartlieb (AMIA, 2015)

Text Classification with Topic-based Word Embedding and Convolutional Neural Networks. - Haotian Xu; Ming Dong 001; Dongxiao Zhu; Alexander Kotov 001; April Idalski Carcone; Sylvie Naar-King (BCB, 2016)

A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories. - Mehedi Hasan; Alexander Kotov 001; April Idalski Carcone; Ming Dong 001; Sylvie Naar; Kathryn Brogan Hartlieb (J. Biomed. Informatics, 2016)

Identifying Effective Motivational Interviewing Communication Sequences Using Automated Pattern Analysis. - Mehedi Hasan; April Idalski Carcone; Sylvie Naar; Susan Eggly; Gwen L. Alexander; Kathryn Brogan Hartlieb; Alexander Kotov 001 (J. Heal. Informatics Res., 2019)

Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. - Arslan Erdengasileng; Shubo Tian; Sara S. Green; Sylvie Naar; Zhe He 001 (BIBM, 2022)

Predicting HIV Diagnosis Among Emerging Adults Using Electronic Health Records and Health Survey Data in All of Us Research Program. - Balu Bhasuran; Yiyang Liu; Mattia Prosperi; Karen MacDonell; Sylvie Naar; Zhe He 001 (BIBM, 2024)