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Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker.
Shin, Daun; Kim, Kyungdo; Lee, Seung-Bo; Lee, Changwoo; Bae, Ye Seul; Cho, Won Ik; Kim, Min Ji; Hyung Keun Park, C; Chie, Eui Kyu; Kim, Nam Soo; Ahn, Yong Min.
Afiliação
  • Shin D; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
  • Kim K; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, South Korea.
  • Lee SB; Department of Medical Information, Keimyung University School of Medicine, Daegu, South Korea.
  • Lee C; Office of Hospital Information, Seoul National University Hospital, Seoul, South Korea.
  • Bae YS; Office of Hospital Information, Seoul National University Hospital, Seoul, South Korea.
  • Cho WI; Department of Electrical and Computer Engineering and INMC, Seoul National University College of Engineering, Seoul, South Korea.
  • Kim MJ; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.
  • Hyung Keun Park C; Department of Psychiatry, Asan Medical Center, Seoul, South Korea.
  • Chie EK; Office of Hospital Information, Seoul National University Hospital, Seoul, South Korea.
  • Kim NS; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, South Korea.
  • Ahn YM; Department of Electrical and Computer Engineering and INMC, Seoul National University College of Engineering, Seoul, South Korea.
Front Psychiatry ; 13: 801301, 2022.
Article em En | MEDLINE | ID: mdl-35686182
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article