Moumita Bhattacharya

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Recommendation Systems

Electronic Medical Record

Machine Learning Methods

Probabilistic Latent Semantic Analysis

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang
Third Workshop on Personalization and Recommendations in Search (PaRiS). SIGIR (2024)
Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang
Personalization and Recommendations in Search. WWW (Companion Volume) (2023)
Moumita Bhattacharya, Sudarshan Lamkhede
Augmenting Netflix Search with In-Session Adapted Recommendations. CoRR (2022)
Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo
Deep Search Relevance Ranking in Practice. KDD (2022)
Moumita Bhattacharya, Sudarshan Lamkhede
Augmenting Netflix Search with In-Session Adapted Recommendations. RecSys (2022)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes. CoRR (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 L. Zimmerman, Theodore P. Abraham, Hagit Shatkay, Maria Roselle Abraham
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model). CoRR (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
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. CoRR (2021)
Moumita Bhattacharya, Amey Barapatre
Query as Context for Item-to-Item Recommendation. RecSys (2020)
Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. RMSE@RecSys (2019)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes. J. Biomed. Informatics 82 (2018)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling. BCB (2018)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification. BMC Medical Informatics Decis. Mak. 18 (S-4) (2018)
Moumita Bhattacharya, Deborah Ehrenthal, Hagit Shatkay
Identifying Growth-Patterns in Children by Applying Cluster analysis to Electronic Medical Records. CoRR (2017)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records. CoRR (2017)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset. BIBM (2017)
Gongbo Zhang, Moumita Bhattacharya, Heng-Yi Wu, Pengyuan Li, Lang Li, Hagit Shatkay
Identifying articles relevant to drug-drug interaction: Addressing class imbalance. BIBM (2017)
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
Identifying patterns of associated-conditions through topic models of Electronic Medical Records. BIBM (2016)
Moumita Bhattacharya, Deborah Ehrenthal, Hagit Shatkay
Identifying growth-patterns in children by applying cluster analysis to electronic medical records. BIBM (2014)