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)

Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. - G. Elisabeta Marai; Chihua Ma; Andrew Thomas Burks; Filippo Pellolio; Guadalupe Canahuate; David M. Vock; Abdallah Sherif Radwan Mohamed; Clifton David Fuller (IEEE Trans. Vis. Comput. Graph., 2019)

A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. - Timothy Luciani; Andrew Wentzel; Baher Elgohari; Hesham Elhalawani; Abdallah Sherif Radwan Mohamed; Guadalupe Canahuate; David M. Vock; Clifton D. Fuller; G. Elisabeta Marai (J. Biomed. Informatics X, 2020)

Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. - Andrew Wentzel; Peter Hanula; Timothy Luciani; Baher Elgohari; Hesham Elhalawani; Guadalupe Canahuate; David M. Vock; Clifton D. Fuller; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2020)