A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial-Reference-Cited by-同舟云学术

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Published:2016-11-03 Issue:1 Volume:47 Page:112-121
ISSN:0363-0234
Container-title:Suicide and Life-Threatening Behavior
language:en
Short-container-title:Suicide Life Threat Behav

Author:

Pestian John P.¹,Sorter Michael²,Connolly Brian¹,Bretonnel Cohen Kevin³,McCullumsmith Cheryl⁴,Gee Jeffry T.⁵,Morency Louis-Philippe⁶,Scherer Stefan⁷,Rohlfs Lesley⁷,

Affiliation:

1. Division of Biomedical Informatics; Cincinnati Children's Hospital Medical Center; University of Cincinnati; Cincinnati OH USA

2. Division of Psychiatry; Cincinnati Children's Hospital Medical Center; University of Cincinnati; Cincinnati OH USA

3. Computational Bioscience Program; University of Colorado School of Medicine; Denver CO USA

4. Department of Psychiatry; College of Medicine; University of Cincinnati; Cincinnati OH USA

5. Princeton Community Hospital; Princeton WV USA

6. Language Technologies Institute; Carnegie Mellon University; Pittsburgh PA USA

7. Institute for Creative Technologies; University of Southern California; Los Angeles CA USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Clinical Psychology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/sltb.12312/fullpdf

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