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

Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy

Published:2023-08 Issue:8 Volume:19 Page:1399-1410
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)

Subject

Neurology (clinical),Neurology,Pulmonary and Respiratory Medicine

Reference50 articles.

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2. 0189 Sleep Duration and Subjective Resilience to Sleep Loss Predict Functional Impairment in Elite Infantrymen During Military Training

3. Epidemiology of Sleep Disturbances and Cardiovascular Consequences

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

5. The Veterans Administration and Department of Defense clinical practice guidelines for the diagnosis and management of sleep disorders: what does this mean for the practice of sleep medicine?