How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys.

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作者： Ronald C,Kessler ^[1] ; Sherri,Rose ; Karestan C,Koenen ; Elie G,Karam ; Paul E,Stang ; Dan J,Stein ; Steven G,Heeringa ; Eric D,Hill ; Israel,Liberzon ; Katie A,McLaughlin ; Samuel A,McLean ; Beth E,Pennell ; Maria,Petukhova ; Anthony J,Rosellini ; Ayelet M,Ruscio ; Victoria,Shahly ; Arieh Y,Shalev ; Derrick,Silove ; Alan M,Zaslavsky ; Matthias C,Angermeyer ; Evelyn J,Bromet ; José Miguel Caldas,de Almeida ; Giovanni,de Girolamo ; Peter,de Jonge ; Koen,Demyttenaere ; Silvia E,Florescu ; Oye,Gureje ; Josep Maria,Haro ; Hristo,Hinkov ; Norito,Kawakami ; Viviane,Kovess-Masfety ; Sing,Lee ; Maria Elena,Medina-Mora ; Samuel D,Murphy ; Fernando,Navarro-Mateu ; Marina,Piazza ; Jose,Posada-Villa ; Kate,Scott ; Yolanda,Torres ; Maria,Carmen Viana

作者单位： Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave., Boston, MA, 02115, USA. ^[1]

关键词 Post-traumatic stress disorder machine learning penalized regression predictive modeling random forests ridge regression

DOI 10.1002/wps.20150

PMID 25273300

发布时间 2022-03-18

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