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Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning.
Balbuena, Lloyd D; Baetz, Marilyn; Sexton, Joseph Andrew; Harder, Douglas; Feng, Cindy Xin; Boctor, Kerstina; LaPointe, Candace; Letwiniuk, Elizabeth; Shamloo, Arash; Ishwaran, Hemant; John, Ann; Brantsæter, Anne Lise.
Afiliación
  • Balbuena LD; Department of Psychiatry, University of Saskatchewan, Saskatoon, Canada. lloyd.balbuena@gmail.com.
  • Baetz M; College of Medicine, University of Saskatchewan, Saskatoon, Canada.
  • Sexton JA; Diakonhjemmet Hospital, Oslo, Norway.
  • Harder D; Mental Health & Addictions Services, Saskatchewan Health Authority, Saskatoon, Canada.
  • Feng CX; Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada.
  • Boctor K; Department of Psychiatry, University of Saskatchewan, Saskatoon, Canada.
  • LaPointe C; Mental Health & Addictions Services, Saskatchewan Health Authority, Saskatoon, Canada.
  • Letwiniuk E; Mental Health & Addictions Services, Saskatchewan Health Authority, Saskatoon, Canada.
  • Shamloo A; Department of Psychiatry, University of Saskatchewan, Saskatoon, Canada.
  • Ishwaran H; Division of Biostatistics, University of Miami, Miami, USA.
  • John A; Swansea University Medical School, Swansea University, Swansea, United Kingdom.
  • Brantsæter AL; Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
BMC Psychiatry ; 22(1): 120, 2022 02 15.
Article en En | MEDLINE | ID: mdl-35168594
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Intento de Suicidio / Prevención del Suicidio Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Intento de Suicidio / Prevención del Suicidio Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article