Physiological sleep measures predict time to 15‐year mortality in community adults: Application of a novel machine learning framework-Reference-Cited by-同舟云学术

Physiological sleep measures predict time to 15‐year mortality in community adults: Application of a novel machine learning framework

Published:2021-05-15 Issue:6 Volume:30 Page:
ISSN:0962-1105
Container-title:Journal of Sleep Research
language:en
Short-container-title:J. Sleep Res.

Author:

Wallace Meredith L.¹²^ORCID,Coleman Timothy S.²,Mentch Lucas K.²,Buysse Daniel J.¹,Graves Jessica L.³,Hagen Erika W.⁴,Hall Martica H.¹,Stone Katie L.⁵,Redline Susan⁶,Peppard Paul E.⁴

Affiliation:

1. Department of Psychiatry University of Pittsburgh Pittsburgh PA USA

2. Department of Statistics University of Pittsburgh Pittsburgh PA USA

3. University of Pittsburgh Medical Center Pittsburgh PA USA

4. Department of Population Health Sciences University of Wisconsin Madison WI USA

5. California Pacific Medical Center Research Institute San Francisco CA USA

6. Departments of Medicine Brigham and Women’s Hospital Harvard Medical School Beth Israel Deaconess Medical Center Boston MA USA

Funder

National Institute on Aging

National Heart, Lung, and Blood Institute

National Center for Research Resources

Publisher

Wiley

Subject

Behavioral Neuroscience,Cognitive Neuroscience,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jsr.13386

Reference44 articles.

1. Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

2. Natural History of Sleep-disordered Breathing during Rapid Eye Movement Sleep. Relevance for Incident Cardiovascular Disease

3. Sleep Disorders in Chronic Obstructive Pulmonary Disease: Etiology, Impact, and Management

4. Sleep Health: Can We Define It? Does It Matter?

5. Multiple Comparison Procedures

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