Stratification of Risk for Fall Resulting in Hospital Readmission through Medication Side Effects Profiles. - Thomas H. McCoy Jr.; Victor M. Castro; Roy H. Perlis (AMIA, 2015)

Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models. - Michael C. Hughes; Leah Weiner; Gabriel Hope; Thomas H. McCoy Jr.; Roy H. Perlis; Erik B. Sudderth; Finale Doshi-Velez (CoRR, 2017)

Prediction-Constrained Topic Models for Antidepressant Recommendation. - Michael C. Hughes; Gabriel Hope; Leah Weiner; Thomas H. McCoy Jr.; Roy H. Perlis; Erik B. Sudderth; Finale Doshi-Velez (CoRR, 2017)

Semi-Supervised Prediction-Constrained Topic Models. - Michael C. Hughes; Gabriel Hope; Leah Weiner; Thomas H. McCoy Jr.; Roy H. Perlis; Erik B. Sudderth; Finale Doshi-Velez (AISTATS, 2018)

Deep Learning Benchmarks on L1000 Gene Expression Data. - Matthew B. A. McDermott; Jennifer Wang; Wen-Ning Zhao; Steven Sheridan; Peter Szolovits; Isaac S. Kohane; Stephen J. Haggarty; Roy H. Perlis (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. - Maia L. Jacobs; Jeffrey He; Melanie F. Pradier; Barbara D. Lam; Andrew C. Ahn; Thomas H. McCoy; Roy H. Perlis; Finale Doshi-Velez; Krzysztof Z. Gajos (CHI, 2021)

Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records. - Tianyi Zhang 001; Thomas H. McCoy; Roy H. Perlis; Finale Doshi-Velez; Elena L. Glassman (VAHC, 2021)

Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. - Melanie F. Pradier; Javier Zazo; Sonali Parbhoo; Roy H. Perlis; Maurizio Zazzi; Finale Doshi-Velez (CoRR, 2021)

Task-Relevant Feature Selection with Prediction Focused Mixture Models. - Abhishek Sharma; Catherine Zeng; Sanjana Narayanan; Sonali Parbhoo; Roy H. Perlis; Finale Doshi-Velez (Trans. Mach. Learn. Res., 2024)