"Development and Validation of a Deep-Learning Model for Differential ..."

David Benrimoh et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2406.04993

access: open

type: Informal or Other Publication

metadata version: 2024-10-16

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-04993
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-04993
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:
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. CoRR abs/2406.04993 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.