A Flexible Spatial Framework for Modeling Spread of Pathogens in Animals with Biosurveillance and Disease Control Applications. - Montiago LaBute; Benjamin H. McMahon; Mac Brown; Carrie Manore; Jeanne M. Fair (ISPRS Int. J. Geo Inf., 2014)

Machine Learning for Time to Event Biomedical Research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Amy C. Justice; Benjamin H. McMahon; Olga Ovchinnikova (AMIA, 2021)

COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority. - Rachel Ramoni; Molly Klote; Sumitra Muralidhar; Cynthia Brandt; Maya A. Bernstein; Benjamin H. McMahon; Daniel A. Jacobson; Amy C. Justice (J. Am. Medical Informatics Assoc., 2021)

In with the old, in with the new: machine learning for time to event biomedical research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Mayanka Chandra Shekar; Ian Goethert; Olga Ovchinnikova; Benjamin H. McMahon; Amy C. Justice (J. Am. Medical Informatics Assoc., 2022)

Continuous-time probabilistic models for longitudinal electronic health records. - Alan David Kaplan; Uttara Tipnis; Jean C. Beckham; Nathan A. Kimbrel; David W. Oslin; Benjamin H. McMahon (J. Biomed. Informatics, 2022)

Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. - Carianne Martinez; Drew Levin; Jessica Jones; Patrick D. Finley; Benjamin H. McMahon; Sayera Dhaubhadel; Judith Cohn; David W. Oslin; Nathan A. Kimbrel; Jean C. Beckham (J. Am. Medical Informatics Assoc., 2023)

Global explainability of a deep abstaining classifier. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Benjamin H. McMahon; Trilce Estrada; Kumkum Ganguly; Adam Spannaus; John P. Gounley; Xiao-Cheng Wu; Eric B. Durbin; Heidi A. Hanson; Tanmoy Bhattacharya 001 (CoRR, 2025)