Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration-Reference-Cited by-同舟云学术

Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration

Published:2017-07-04 Issue:3 Volume:26 Page:
ISSN:1049-8931
Container-title:International Journal of Methods in Psychiatric Research
language:en
Short-container-title:Int J Methods Psychiatr Res

Author:

Kessler Ronald C.¹^ORCID,Hwang Irving¹,Hoffmire Claire A.²,McCarthy John F.³,Petukhova Maria V.¹,Rosellini Anthony J.⁴,Sampson Nancy A.¹,Schneider Alexandra L.²,Bradley Paul A.⁵,Katz Ira R.⁶,Thompson Caitlin⁷⁸,Bossarte Robert M.⁹¹⁰

Affiliation:

1. Department of Health Care PolicyHarvard Medical School Boston Massachusetts USA

2. VISN 19 Mental Illness Research, Education and Clinical Care Center Denver Colorado USA

3. Office of Mental Health Operations, VA Center for Clinical Management ResearchSerious Mental Illness Treatment Resource and Evaluation Center Ann Arbor Michigan USA

4. Center for Anxiety and Related DisordersBoston University Boston Massachusetts USA

5. PricewaterhouseCoopers PS LLP Washington District of Columbia USA

6. Office of Mental Health Operations, Veterans Health Administration Washington District of Columbia USA

7. Office of Suicide PreventionVeterans Health Administration Washington District of Columbia USA

8. Department of PsychiatryUniversity of Rochester Rochester New York USA

9. West Virginia University Injury Control Research Center and Department of Behavioral Medicine and PsychiatryWest Virginia University School of Medicine Morgantown West Virginia USA

10. Office of Suicide Prevention and VISN 2 Center of Excellence for Suicide PreventionVeterans Health Administration Washington District of Columbia USA

Funder

U.S. Department of Veterans Affairs

Publisher

Wiley

Subject

Psychiatry and Mental health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mpr.1575

Reference41 articles.

1. Cloud based mental state monitoring system for suicide risk reconnaissance using wearable bio-sensors

2. Centers for Disease Control and Prevention & Department of Health and Human Services. (2015).National Death Index.https://www.healthdata.gov/dataset/national‐death‐index[1 August 2016]

3. BART: Bayesian additive regression trees

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