z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom