Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models
Author(s) -
Michael C. Hughes,
Melanie F. Pradier,
Andrew Slavin Ross,
Thomas H. McCoy,
Roy H. Perlis,
Finale DoshiVelez
Publication year - 2020
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2020.5308
Subject(s) - medicine , medical prescription , retrospective cohort study , specialty , antidepressant , proxy (statistics) , cohort , psychiatry , machine learning , anxiety , computer science , pharmacology
This cohort study assesses medication-specific treatment models vs general treatment models for predicting stable response to antidepressant treatment among patients with major depressive disorder.
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