Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia-Reference-Cited by-同舟云学术

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

Published:2024-06 Issue:6 Volume:20 Page:921-931
ISSN:1550-9389
Container-title:Journal of Clinical Sleep Medicine
language:en
Short-container-title:Journal of Clinical Sleep Medicine

Author:

Gabbay Frances H.¹²,Wynn Gary H.¹,Georg Matthew W.¹²,Gildea Sarah M.³,Kennedy Chris J.⁴,King Andrew J.³,Sampson Nancy A.³,Ursano Robert J.¹,Stein Murray B.⁵⁶,Wagner James R.⁷,Kessler Ronald C.³,Capaldi Vincent F.¹

Affiliation:

1. Department of Psychiatry, Uniformed Services University, Bethesda, Maryland

2. Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland

3. Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts

4. Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts

5. Department of Psychiatry, University of California San Diego, La Jolla, California

6. Psychiatric Service, VA San Diego Healthcare System, San Diego, California

7. Institute for Social Research, University of Michigan, Ann Arbor, Michigan

Publisher

American Academy of Sleep Medicine (AASM)

Reference44 articles.

1. Sleep disorders related to deployment in active duty service members and veterans

2. Sleep in the United States Military

3. Epidemiology of Sleep Disturbances and Cardiovascular Consequences

4. Cognitive Behavioral Therapy for Chronic Insomnia

5. Clinical Guideline for the Evaluation and Management of Chronic Insomnia in Adults

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