Differential Treatment Benet Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data-Reference-Cited by-同舟云学术

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

Published:2020-01-01 Issue:0 Volume:4 Page:61
ISSN:2379-6227
Container-title:Computational Psychiatry
language:
Short-container-title:

Author:

Mehltretter Joseph,Fratila Robert,Benrimoh David A.,Kapelner Adam,Perlman Kelly,Snook Emily,Israel Sonia,Armstrong Caitrin,Miresco Marc,Turecki Gustavo

Funder

Aifred Health

Publisher

Ubiquity Press, Ltd.

Subject

General Medicine

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/cpsy_a_00029

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1. Bupropion SR Enhances Weight Loss: A 48-Week Double-Blind, Placebo- Controlled Trial

2. Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection

3. COMPREHENSIVE REVIEW OF FACTORS IMPLICATED IN THE HETEROGENEITY OF RESPONSE IN DEPRESSION

4. Cross-trial prediction of treatment outcome in depression: a machine learning approach

5. The Personalized Advantage Index: Translating Research on Prediction into Individualized Treatment Recommendations. A Demonstration

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