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Predicting new-onset post-stroke depression from real-world data using machine learning algorithm.
Chen, Yu-Ming; Chen, Po-Cheng; Lin, Wei-Che; Hung, Kuo-Chuan; Chen, Yang-Chieh Brian; Hung, Chi-Fa; Wang, Liang-Jen; Wu, Ching-Nung; Hsu, Chih-Wei; Kao, Hung-Yu.
Afiliación
  • Chen YM; Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Chen PC; Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Lin WC; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Hung KC; Department of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan.
  • Chen YB; Department of Hospital and Health Care Administration, College of Recreation and Health Management, Chia Nan University of Pharmacy and Science, Tainan City, Taiwan.
  • Hung CF; Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Wang LJ; Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Wu CN; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.
  • Hsu CW; College of Humanities and Social Sciences, National Pingtung University of Science and Technology, Pingtung, Taiwan.
  • Kao HY; Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Front Psychiatry ; 14: 1195586, 2023.
Article en En | MEDLINE | ID: mdl-37404713
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article País de afiliación: Taiwán