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Augmenting Netflix Search with In-Session Adapted Recommendations


Jun 05, 2022
Moumita Bhattacharya, Sudarshan Lamkhede

* 5 pages, 2 figures 

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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)


Sep 19, 2021
Moumita Bhattacharya, Dai-Yin Lu, Shibani M Kudchadkar, Gabriela Villarreal Greenland, Prasanth Lingamaneni, Celia P Corona-Villalobos, Yufan Guan, Joseph E Marine, Jeffrey E Olgin, Stefan Zimmerman, Theodore P Abraham, Hagit Shatkay, Maria Roselle Abraham

* The American Journal of Cardiology, Volume 123, Issue 10, 15 May 2019, Pages 1681-1689 

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Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model


Sep 19, 2021
Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay

* CJC Open, Volume 3, Issue 6, June 2021, Pages 801-813 

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Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes


Sep 19, 2021
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

* Journal of Biomedical Informatics Volume 82, June 2018, Pages 31-40 

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Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records


Nov 17, 2017
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

* 4 pages 

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Identifying Growth-Patterns in Children by Applying Cluster analysis to Electronic Medical Records


Aug 16, 2017
Moumita Bhattacharya, Deborah Ehrenthal, Hagit Shatkay

* 4 pages, 5 figure Published in Proc. of the IEEE Int. Conference on Bioinformatics and Biomedicine (BIBM), Belfast, Ireland, November, 2014 

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