Jordan F. Karp

According to our database, Jordan F. Karp authored at least 3 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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 Heller, Gustavo Turecki

CoRR, 2024

2023

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, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki

CoRR, 2023

2022

Falls prediction using the nursing home minimum dataset.

Richard D. Boyce, Olga Kravchenko, Subashan Perera, Jordan F. Karp, Sandra L. Kane-Gill, Charles F. Reynolds, Steven M. Albert, Steven M. Handler

J. Am. Medical Informatics Assoc., 2022