Big Data Analytics and AI in Mental Healthcare. - Ariel Rosenfeld; David Benrimoh; Caitrin Armstrong; Nykan Mirchi; Timothe Langlois-Therrien; Colleen Rollins; Myriam Tanguay-Sela; Joseph Mehltretter; Robert Fratila; Sonia Israel; Emily Snook; Kelly Perlman; et al. (CoRR, 2019)

Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression. - Joseph Mehltretter; Colleen Rollins; David Benrimoh; Robert Fratila; Kelly Perlman; Sonia Israel; Marc Miresco; Marina Wakid; Gustavo Turecki (Frontiers Artif. Intell., 2019)

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. - David Benrimoh; Akiva Kleinerman; Toshi A. Furukawa; Charles F. Reynolds III; Eric Lenze; Jordan F. Karp; Benoit H. Mulsant; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; et al. (CoRR, 2023)

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study. - David Benrimoh; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; Adam Kapelner; Sagar V. Parikh; Jordan F. Karp; Katherine A. Heller; Gustavo Turecki (CoRR, 2024)