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ORCIDSanjoy Dey
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2020 – today
- 2022
[j3]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:
Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 3(5): 100493 (2022)- 2021
- [c21]Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow:
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA 2021 - 2020
- [c20]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn:
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. AMIA 2020 - [c19]Sanjoy Dey, Zhaonan Sun, Amrita Mohan, Cristina Sampaio, Jianying Hu:
Analyzing impact of genomic factors on HD progression through an integrated disease progress model. AMIA 2020 - [c18]Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney:
Tutorial on Human-Centered Explainability for Healthcare. KDD 2020: 3547-3548
2010 – 2019
- 2019
- [c17]Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng:
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD 2019: 1258-1268 - 2018
- [j2]Sanjoy Dey, Heng Luo, Achille Fokoue, Jianying Hu, Ping Zhang:
Predicting adverse drug reactions through interpretable deep learning framework. BMC Bioinform. 19-S(21): 476:1-476:13 (2018) - [c16]Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow:
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. AMIA 2018 - [c15]Sanjoy Dey, Ping Zhang, Kenney Ng:
Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA 2018 - [c14]Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Sanjoy Dey, Arun Iyengar, Ping Zhang:
An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. AMIA 2018 - [c13]Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang:
Interpretable Drug Target Prediction Using Deep Neural Representation. IJCAI 2018: 3371-3377 - 2017
- [c12]Pei-Yun Sabrina Hsueh, Sanjoy Dey, Subhro Das, Thomas Wetter:
Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better". MedInfo 2017: 113-117 - 2016
- [j1]Catherine H. Olson, Sanjoy Dey, Vipin Kumar, Karen A. Monsen, Bonnie L. Westra:
Clustering of elderly patient subgroups to identify medication-related readmission risks. Int. J. Medical Informatics 85(1): 43-52 (2016) - [c11]Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart:
Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. AMIA 2016 - [c10]Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon:
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI 2016 - 2015
- [c9]Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra:
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA 2015 - [c8]Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra:
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA 2015 - [p1]Sanjoy Dey, Rohit Gupta, Michael S. Steinbach, Vipin Kumar:
Predictive Models for Integrating Clinical and Genomic Data. Healthcare Data Analytics 2015: 433-465 - 2014
- [c7]Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra:
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA 2014 - [c6]Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar:
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM 2014: 1055-1063 - 2013
- [c5]Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar:
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA 2013 - 2012
- [c4]Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar:
A pattern mining based integrative framework for biomarker discovery. BCB 2012: 498-505 - [c3]Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar:
Invited: Discovering combinatorial biomarkers. ICCABS 2012: 1-2
2000 – 2009
- 2004
- [c2]Satya Prasad Majumder, Sanjoy Dey:
Evaluation of BER/PER Performance of a FLAMINGO Network. AACC 2004: 191-197 - [c1]Sanjoy Dey, Sharif Mahmud:
A Web-Based Examination System in the Context of Bangladesh. AACC 2004: 296-301
Coauthor Index
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