Sanjoy Dey
Sanjoy Dey
Research Scientist, Center for Computational Health, IBM T. J. Watson research Center
Verified email at - Homepage
Cited by
Cited by
Interpretable drug target prediction using deep neural representation.
KY Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang
IJCAI 2018, 3371-3377, 2018
Predicting adverse drug reactions through interpretable deep learning framework
S Dey, H Luo, A Fokoue, J Hu, P Zhang
BMC bioinformatics 19, 1-13, 2018
Early detection of heart failure using electronic health records: practical implications for time before diagnosis, data diversity, data quantity, and data density
K Ng, SR Steinhubl, C DeFilippi, S Dey, WF Stewart
Circulation: Cardiovascular Quality and Outcomes 9 (6), 649-658, 2016
Co-clustering phenome–genome for phenotype classification and disease gene discovery
TH Hwang, G Atluri, MQ Xie, S Dey, C Hong, V Kumar, R Kuang
Nucleic acids research 40 (19), e146-e146, 2012
Proteomic profiles in acute respiratory distress syndrome differentiates survivors from non-survivors
M Bhargava, TL Becker, KJ Viken, PD Jagtap, S Dey, MS Steinbach, B Wu, ...
PloS one 9 (10), e109713, 2014
Clustering of elderly patient subgroups to identify medication-related readmission risks
CH Olson, S Dey, V Kumar, KA Monsen, BL Westra
International journal of medical informatics 85 (1), 43-52, 2016
Added Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics
WT Hsueh PY, Cheung YK, Dey S, Kim KK, Martin-Sanchez FJ, Petersen SK
Yearbook of Medical Informatics 26 (1), 160-71, 2017
Protein expression profile of rat type two alveolar epithelial cells during hyperoxic stress and recovery
M Bhargava, S Dey, T Becker, M Steinbach, V Kumar, L Higgins, C Wendt
American journal of physiology. Lung cellular and molecular physiology 305 …, 2013
System and method for clustering data in input and output spaces
J Heit, S Dey, S Srinivasan
US Patent 9,116,974, 2015
Proteome profiling in lung injury after hematopoietic stem cell transplantation
M Bhargava, KJ Viken, S Dey, MS Steinbach, B Wu, PD Jagtap, ...
Biology of Blood and Marrow Transplantation 22 (8), 1383-1390, 2016
Human-centered explainability for life sciences, healthcare, and medical informatics
S Dey, P Chakraborty, BC Kwon, A Dhurandhar, M Ghalwash, FJS Saiz, ...
Patterns 3 (5), 2022
Integration of clinical and genomic data: a methodological survey
S Dey, R Gupta, M Steinbach, V Kumar
Interpretable predictive models for knowledge discovery from home-care electronic health records
BL Westra, S Dey, G Fang, M Steinbach, V Kumar, C Oancea, K Savik, ...
Journal of Healthcare Engineering 2, 55-74, 2011
A data mining approach to determine sepsis guideline impact on inpatient mortality and complications
L Pruinelli, P Yadav, A Hangsleben, J Johnson, S Dey, M McCarty, ...
AMIA Summits on Translational Science Proceedings 2016, 194, 2016
Mining patterns associated with mobility outcomes in home healthcare
S Dey, J Cooner, CW Delaney, J Fakhoury, V Kumar, G Simon, ...
Nursing research 64 (4), 235-245, 2015
Identifying chemical substructures associated with adverse drug reactions
S Dey, AB Fokoue-Nkoutche, J Hu, H Luo, P Zhang
US Patent 11,289,178, 2022
Making sense of patient-generated health data for interpretable patient-centered care: the transition from “more” to “better”
PYS Hsueh, S Dey, S Das, T Wetter
MEDINFO 2017: Precision Healthcare through Informatics, 113-117, 2017
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records
S Dey, G Simon, B Westra, M Steinbach, V Kumar
SIAM International Conference on Data Mining, 1055-1063., 2014
Tutorial on human-centered explainability for healthcare
P Chakraborty, BC Kwon, S Dey, A Dhurandhar, D Gruen, K Ng, D Sow, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Interpretable bio-medical link prediction using deep neural representation
AB Fokoue-Nkoutche, Y Gao, H Luo, P Zhang, S Dey
US Patent App. 15/943,773, 2019
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