Alexander Kotov

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Book chapters

1. Alexander Kotov, "Social Media Analytics for Healthcare", book chapter in "Healthcare Data Analytics" by Chandan K. Reddy and Charu C. Aggarwal (editors), CRC Press, 2015 [pdf]

Selected journal papers

1. Dmitriy Viderman, Alexander Kotov, Maxim Popov and Yerkin Abdildin,   "Machine and Deep Learning Methods for Clinical Outcome Prediction based on Physiological Data of COVID-19 Patients: a Scoping Review", International Journal of Medical Informatics (IJMI), Volume 182, 105308, 2024 [link]
2. Saeid Balaneshin-kordan, Alexander Kotov,  "Bayesian Approach to Incorporating Different Types of Biomedical Knowledge Bases into Information Retrieval Systems for Clinical Decision Support in Precision Medicine", Journal of Biomedical Informatics (JBI), Volume 98, 103238, October 2019 [link]
3. Mehedi Hasan, April Idalski Carcone, Sylvie Naar, Susan Eggly, Gwen L Alexander, Kathryn Brogan Hartlieb, Alexander Kotov, "Identifying Effective Motivational Interviewing Communication Sequences Using Automated Pattern Analysis", Journal of Health Informatics Research, Volume 3, Issue 1, pages 86-106, March 2019 [link]
4. Mehedi Hasan^*, Alexander Kotov^*, April Idalski Carcone, Ming Dong, Sylvie Naar and Kathryn Brogan Hartlieb, "A Study of the Effectiveness of Machine Learning Methods for Classification of Clinical Interview Fragments into a Large Number of Categories", Journal of Biomedical Informatics (JBI), Volume 62, pages 21-31, August 2016 [link]

Selected full papers

1. Mehedi Hasan^*, Alexander Kotov^*, Sylvie Naar, Gwen L. Alexander, April Idalski Carcone, "Deep Neural Architectures for Discourse Segmentation in E-mail Based Behavioral Interventions", full paper, In Proceedings of the 2019 Informatics Summits of the American Medical Informatics Association (AMIA Summits 2019), pages 443-452 [pdf, slides]
2. Mehedi Hasan^*, Alexander Kotov^*, April Idalski Carcone, Ming Dong, Sylvie Naar, "Predicting the Outcome of Patient-Provider Communication Sequences using Recurrent Neural Networks and Probabilistic Models", In Proceedings of the 2018 Informatics Summits of the American Medical Informatics Association (AMIA Summits 2018), pages 64-73 [pdf, slides]
3. Saeid Balaneshin-kordan and Alexander Kotov, "Optimization Method for Weighting Explicit and Latent Concepts in Clinical Decision Support Queries", In Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR'16), pages 241-250 (acceptance rate 50%) [pdf]
4. Alexander Kotov, Mehedi Hasan, April Carcone, Ming Dong, Sylvie Naar-King and Kathryn Brogan Hartlieb, "Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text", In Proceedings of the 2015 Annual Symposium of the American Medical Informatics Association (AMIA'15), pages 785-794 [pdf, slides]

Selected short papers

1. Diana Diaz, Aliccia Bollig-Fischer and Alexander Kotov, "Tensor Decomposition for Sub-typing of Complex Diseases based on Clinical and Genomic Data", short paper, In Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM'19), pages 647-651 (acceptance rate 18.4%) [pdf, slides]

Selected workshop papers

1. Alexander Kotov, April Carcone, Ming Dong, Sylvie Naar-King and Kathryn Brogan. "Towards Automatic Annotation of Clinical Interview Transcripts", In Proceedings of the KDD Workshop on Big Data Analytic Technology for Bioinformatics and Health Informatics (KDD-BHI'14)

Tutorials

1. David Atkins, Veronica Perez-Rosas, Kenneth Resnicow, Alexander Kotov, April Idalski Carcone "Computational Technology to Support Automated Motivational Interviewing Fidelity Feedback and Communication Science", presented at the 2017 International Conference on Motivational Interviewing (ICMI'17)