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; Gabriela Vazquez-Benitez; Gediminas Adomavicius; Mohamed Elidrisi; Paul E. Johnson; Patrick J. O'Connor (Data Min. Knowl. Discov., 2015)

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; Gediminas Adomavicius; Paul E. Johnson; Gabriela Vazquez-Benitez; Patrick J. O'Connor (J. Biomed. Informatics, 2016)

Predicting neutropenia risk in patients with cancer using electronic data. - Pamala A. Pawloski; Avis J. Thomas; Sheryl Kane; Gabriela Vazquez-Benitez; Gary R. Shapiro; Gary H. Lyman (J. Am. Medical Informatics Assoc., 2017)