Madhumita Sushil
About
Madhumita Sushil has authored 16 papers that have received a total of 84 indexed citations.
This includes 10 papers in Artificial Intelligence, 7 papers in Health Informatics and 5 papers in Molecular Biology. The topics of these papers are Topic Modeling (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Machine Learning in Healthcare (6 papers). Madhumita Sushil is often cited by papers focused on Topic Modeling (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Machine Learning in Healthcare (6 papers) and collaborates with scholars based in United States, Belgium and The Netherlands. Madhumita Sushil's co-authors include Atul J. Butte, Walter Daelemans, Travis Zack, Shenghuan Sun and Simon Šuster and has published in prestigious journals such as Cancer Research, Journal of Clinical Epidemiology and Clinical Pharmacology & Therapeutics
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