A Web-Based Examination System in the Context of Bangladesh. - Sanjoy Dey; Sharif Mahmud (AACC, 2004)

Evaluation of BER/PER Performance of a FLAMINGO Network. - Satya Prasad Majumder; Sanjoy Dey (AACC, 2004)

A pattern mining based integrative framework for biomarker discovery. - Sanjoy Dey; Kelvin O. Lim; Gowtham Atluri; Angus W. MacDonald III; Michael S. Steinbach; Vipin Kumar 001 (BCB, 2012)

Invited: Discovering combinatorial biomarkers. - Gowtham Atluri; Sanjoy Dey; Gang Fang; Sean Landman; Vanja Paunic; Wen Wang 002; Michael S. Steinbach; Vipin Kumar 001 (ICCABS, 2012)

Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. - Sanjoy Dey; Jeremy Weed; Joanna Fakhoury; Jacob Cooner; György J. Simon; Michael S. Steinbach; Bonnie L. Westra; Vipin Kumar 001 (AMIA, 2013)

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. - Lisiane Pruinelli; Sanjoy Dey; György J. Simon; Pranjul Yadav; Andrew Hangsleben; Katherine Hauwiller; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2014)

Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. - Sanjoy Dey; György J. Simon; Bonnie L. Westra; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2014)

Predictive Models for Integrating Clinical and Genomic Data. - Sanjoy Dey; Rohit Gupta 003; Michael S. Steinbach; Vipin Kumar 001 (Healthcare Data Analytics, 2015)

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. - Sanjoy Dey; Katherine Hauwiller; Pranjul Yadav; Michael S. Steinbach; György J. Simon; Vipin Kumar 001; Connie White-Delaney; Bonnie L. Westra (AMIA, 2015)

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Kevin Schiroo; Sanjoy Dey; György J. Simon; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2015)

Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. - Sanjoy Dey; Yajuan Wang; Roy J. Byrd; Kenney Ng; Steven R. Steinhubl; Christopher deFilippi; Walter F. Stewart (AMIA, 2016)

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Jakob Johnson; Sanjoy Dey; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra; György J. Simon (CRI, 2016)

Clustering of elderly patient subgroups to identify medication-related readmission risks. - Catherine H. Olson; Sanjoy Dey; Vipin Kumar 001; Karen A. Monsen; Bonnie L. Westra (Int. J. Medical Informatics, 2016)

Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better". - Pei-Yun Sabrina Hsueh; Sanjoy Dey; Subhro Das; Thomas Wetter (MedInfo, 2017)

Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. - Sanjoy Dey; Ping Zhang 016; Mohamed F. Ghalwash; Zach Shahn; Daby Sow (AMIA, 2018)

Estimating Personalized Drug Effects with Longitudinal Observational Data. - Sanjoy Dey; Ping Zhang 016; Kenney Ng (AMIA, 2018)

An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Sanjoy Dey; Arun Iyengar; Ping Zhang 016 (AMIA, 2018)

Interpretable Drug Target Prediction Using Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Arun Iyengar; Sanjoy Dey; Ping Zhang 016 (IJCAI, 2018)

Predicting adverse drug reactions through interpretable deep learning framework. - Sanjoy Dey; Heng Luo 002; Achille Fokoue; Jianying Hu; Ping Zhang 016 (BMC Bioinform., 2018)

PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. - Sanjoy Dey; Ping Zhang 016; Daby Sow; Kenney Ng (KDD, 2019)

Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. - Sanjoy Dey; Ping Zhang 016; Mohamed F. Ghalwash; Chandramouli Maduri; Daby Sow; Zachary Shahn (AMIA, 2020)

Analyzing impact of genomic factors on HD progression through an integrated disease progress model. - Sanjoy Dey; Zhaonan Sun; Amrita Mohan; Cristina Sampaio; Jianying Hu (AMIA, 2020)

Tutorial on Human-Centered Explainability for Healthcare. - Prithwish Chakraborty; Bum Chul Kwon; Sanjoy Dey; Amit Dhurandhar; Daniel M. Gruen; Kenney Ng; Daby Sow; Kush R. Varshney (KDD, 2020)

Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. - Sanjoy Dey; Aritra Bose; Subrata Saha; Prithwish Chakraborty; Mohamed F. Ghalwash; Filippo Utro; Aldo Guzmán-Sáenz; Kenney Ng; Jianying Hu; Laxmi Parida; Daby Sow (AMIA, 2021)

Human-centered explainability for life sciences, healthcare, and medical informatics. - Sanjoy Dey; Prithwish Chakraborty; Bum Chul Kwon; Amit Dhurandhar; Mohamed F. Ghalwash; Fernando J. Suarez Saiz; Kenney Ng; Daby Sow; Kush R. Varshney; Pablo Meyer 001 (Patterns, 2022)

Multi-view biomedical foundation models for molecule-target and property prediction. - Parthasarathy Suryanarayanan; Yunguang Qiu; Shreyans Sethi; Diwakar Mahajan; Hongyang Li; Yuxin Yang; Elif K. Eyigöz; Aldo Guzmán-Sáenz; Daniel E. Platt; Timothy H. Rumbell; Kenney Ng; Sanjoy Dey; et al. (CoRR, 2024)

Genetics-Driven Personalized Disease Progression Model. - Haoyu Yang; Sanjoy Dey; Pablo Meyer 001 (CoRR, 2025)

BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects. - Hongyang Li; Sanjoy Dey; Bum Chul Kwon; Michael M. Danziger; Michal Rosen-Tzvi; Jianying Hu; James Kozloski; Ching-Huei Tsou; Bharath Dandala; Pablo Meyer 001 (CoRR, 2025)