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Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach.
Chien, Shuo-Chen; Chang, Yu-Hung; Yen, Chia-Ming; Chen, Ying-Erh; Liu, Chia-Chun; Hsiao, Yu-Ping; Yang, Ping-Yen; Lin, Hong-Ming; Lu, Xing-Hua; Wu, I-Chien; Hsu, Chih-Cheng; Chiou, Hung-Yi; Chung, Ren-Hua.
  • Chien SC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Chang YH; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Yen CM; National Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin County 632, Taiwan.
  • Chen YE; Department of Risk Management and Insurance, Tamkang University, New Taipei City 251, Taiwan.
  • Liu CC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Hsiao YP; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Yang PY; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Lin HM; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Lu XH; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Wu IC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Hsu CC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
  • Chiou HY; National Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin County 632, Taiwan.
  • Chung RH; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County 350, Taiwan.
Cancers (Basel) ; 15(18)2023 Sep 16.
Article en En | MEDLINE | ID: mdl-37760567
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article