Sunayan Bandyopadhyay

Quantitative analysis of fitness and genetic interactions in yeast on a genome scale

Anastasia Baryshnikova, Michael Costanzo, Yungil Kim et al. · Nature Methods · 2010 · 387 citations · Full text

Genome Scale, Genetic Analysis, Quantitative Genetics +14

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting

David M. Vock, Julian Wolfson, Sunayan Bandyopadhyay et al. · Journal of Biomedical Informatics · 2016 · 108 citations · Full text

Health Informatics, Machine Learning, Data Science +12

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock et al. · Data Mining and Knowledge Discovery · 2014 · 83 citations

Health Informatics, Engineering, Data Science +12

A Naive Bayes machine learning approach to risk prediction using censored, time‐to‐event data

Julian Wolfson, Sunayan Bandyopadhyay, Mohamed Elidrisi et al. · Statistics in Medicine · 2015 · 63 citations · Full text

Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data

Julian Wolfson, David M. Vock, Sunayan Bandyopadhyay et al. · Journal of the American Heart Association · 2017 · 33 citations · Full text