Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples-Reference-Cited by-同舟云学术

Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples

Published:2022-08-25 Issue:6 Volume:35 Page:1656-1671
ISSN:0894-9867
Container-title:Journal of Traumatic Stress
language:en
Short-container-title:Journal of Traumatic Stress

Author:

Tomas Carissa W.¹²^ORCID,Fitzgerald Jacklynn M.³,Bergner Carisa²,Hillard Cecilia J.⁴,Larson Christine L.⁵,deRoon‐Cassini Terri A.²⁶^ORCID

Affiliation:

1. Division of Epidemiology Institute for Health and Equity Medical College of Wisconsin Milwaukee Wisconsin USA

2. Comprehensive Injury Center Medical College of Wisconsin Milwaukee Wisconsin USA

3. Department of Psychology Marquette University Milwaukee Wisconsin USA

4. Department of Pharmacology and Toxicology and Neuroscience Research Center Medical College of Wisconsin Milwaukee Wisconsin USA

5. Department of Psychology University of Wisconsin–Milwaukee Milwaukee Wisconsin USA

6. Department of Surgery Division of Trauma and Acute Care Surgery Medical College of Wisconsin Milwaukee Wisconsin USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Clinical Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jts.22868

Reference54 articles.

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3. Racial Discrimination is Associated with Acute Posttraumatic Stress Symptoms and Predicts Future Posttraumatic Stress Disorder Symptom Severity in Trauma‐Exposed Black Adults in the United States

4. Cairns C. Kang K. &Santo L.(2018).National Hospital Ambulatory Medical Care Survey: 2018 emergency department summary tables.https://www.cdc.gov/nchs/data/nhamcs/web_tables/2018‐ed‐web‐tables‐508.pdf

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