Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists

Adrienne Grzenda, Nina V. Kraguljac, William M. McDonald, Charles Nemeroff, John Torous, Jonathan E. Alpert, Carolyn I. Rodriguez, Alik S. Widge

Research output: Contribution to journalReview articlepeer-review

25 Scopus citations

Abstract

“Mr. A,” a 24-year-old man, presents for evaluation of worsening depression. He describes a history of depression since adolescence, although he notes that he suffered a troubled childhood, including emotional neglect. He believes a recent breakup and having been denied a promotion precipitated this episode. “I’m sleeping all the time, and my body feels heavy,” he adds. He also reports increased appetite, weight gain, and “urges to cut, which I have not done in years.” However, he remains social and actively involved in several hobbies. He discontinued bupropion and escitalopram in the past because of “terrible headaches and irritability.” Initially, you consider starting lamotrigine. However, your office recently implemented a clinical decision support system that recommends a trial of phenelzine. The patient’s symptoms remit entirely on the medication suggested by the system. Curious as to how the system decided on this treatment, you download several papers on its development.

Original languageEnglish (US)
Pages (from-to)715-729
Number of pages15
JournalAmerican Journal of Psychiatry
Volume178
Issue number8
DOIs
StatePublished - Aug 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 American Psychiatric Association. All rights reserved.

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