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Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data Cover

Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data

Computational Psychiatry
Volume 4 (2020): Issue 0
By: Joseph Mehltretter,  Robert Fratila,  David A. Benrimoh,  Adam Kapelner,  Kelly Perlman,  Emily Snook,  Sonia Israel,  Caitrin Armstrong,  Marc Miresco and  Gustavo Turecki  
Open Access
|Jan 2020

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DOI: https://doi.org/10.1162/cpsy_a_00029 | Journal eISSN: 2379-6227
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Language: English
Submitted on: May 16, 2019
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Accepted on: Oct 19, 2020
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Published on: Jan 1, 2020
Published by: MIT Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
depression,
treatment selection,
artificial intelligence,
machine learning,
treatment prediction,
mood disorders

© 2020 Joseph Mehltretter, Robert Fratila, David A. Benrimoh, Adam Kapelner, Kelly Perlman, Emily Snook, Sonia Israel, Caitrin Armstrong, Marc Miresco, Gustavo Turecki, published by MIT Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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