Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.

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Bibliographic Details
Title: Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.
Authors: Gabbay FH; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland., Wynn GH; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland., Georg MW; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland., Gildea SM; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Kennedy CJ; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts., King AJ; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Sampson NA; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Ursano RJ; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland., Stein MB; Department of Psychiatry, University of California San Diego, La Jolla, California.; Psychiatric Service, VA San Diego Healthcare System, San Diego, California., Wagner JR; Institute for Social Research, University of Michigan, Ann Arbor, Michigan., Kessler RC; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Capaldi VF; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
Source: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2024 Jun 01; Vol. 20 (6), pp. 921-931.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Academy of Sleep Medicine Country of Publication: Switzerland NLM ID: 101231977 Publication Model: Print Cited Medium: Internet ISSN: 1550-9397 (Electronic) Linking ISSN: 15509389 NLM ISO Abbreviation: J Clin Sleep Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1550-9397
DOI:10.5664/jcsm.11026