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Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data.
Lu, Hongxia; Barrett, Alex; Pierce, Albert; Zheng, Jianwei; Wang, Yun; Chiang, Chun; Rakovski, Cyril.
Afiliação
  • Lu H; Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA, USA. Electronic address: holu@chapman.edu.
  • Barrett A; Orange County Health Care Agency, 405 W. 5th Street, Santa Ana, CA, USA. Electronic address: abarrett.chapman@icloud.com.
  • Pierce A; Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA, USA. Electronic address: alpierce@chapman.edu.
  • Zheng J; School of Pharmacy, Chapman University, 9401 Jeronimo Road, Irvine, CA, USA. Electronic address: jzheng@chapman.edu.
  • Wang Y; School of Pharmacy, Chapman University, 9401 Jeronimo Road, Irvine, CA, USA. Electronic address: yunwang@chapman.edu.
  • Chiang C; Orange County Health Care Agency, 405 W. 5th Street, Santa Ana, CA, USA. Electronic address: cchiang@ochca.com.
  • Rakovski C; Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA, USA. Electronic address: rakovski@chapman.edu.
J Psychiatr Res ; 160: 19-27, 2023 04.
Article em En | MEDLINE | ID: mdl-36773344

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prisões / Ideação Suicida Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prisões / Ideação Suicida Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article