Your browser doesn't support javascript.
loading
Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study.
Chen, Yu-Ching; Chung, Jo-Hsuan; Yeh, Yu-Jo; Lou, Shi-Jer; Lin, Hsiu-Fen; Lin, Ching-Huang; Hsien, Hong-Hsi; Hung, Kuo-Wei; Yeh, Shu-Chuan Jennifer; Shi, Hon-Yi.
Afiliação
  • Chen YC; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Chung JH; Department of Public Health, College of Medicine, National Cheng-Kung University, Tainan, Taiwan.
  • Yeh YJ; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Lou SJ; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Lin HF; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Lin CH; Graduate Institute of Technological and Vocational Education, National Pingtung University of Science and Technology, Pingtung, Taiwan.
  • Hsien HH; Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
  • Hung KW; Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Yeh SJ; Division of Neurology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
  • Shi HY; Department of Internal Medicine, St. Joseph Hospital, Kaohsiung, Taiwan.
Front Neurol ; 13: 875491, 2022.
Article em En | MEDLINE | ID: mdl-35860493
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

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