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Machine learning for classification of postoperative patient status using standardized medical data.
Yamashita, Takanori; Wakata, Yoshifumi; Nakaguma, Hideki; Nohara, Yasunobu; Hato, Shinji; Kawamura, Susumu; Muraoka, Shuko; Sugita, Masatoshi; Okada, Mihoko; Nakashima, Naoki; Soejima, Hidehisa.
Afiliação
  • Yamashita T; Medical Information Center, Kyushu University Hospital, Fukuoka Japan. Electronic address: t-yama@med.kyushu-u.ac.jp.
  • Wakata Y; Medical IT Center, Tokushima University Hospital, Tokushima Japan.
  • Nakaguma H; Saiseikai Kumamoto Hospital, Kumamoto Japan.
  • Nohara Y; Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto Japan.
  • Hato S; National Hospital Organization, Shikoku Cancer Center, Ehime Japan.
  • Kawamura S; National Hospital Organization, Shikoku Cancer Center, Ehime Japan.
  • Muraoka S; NTT Medical Center Tokyo, Tokyo Japan.
  • Sugita M; NTT Medical Center Tokyo, Tokyo Japan.
  • Okada M; Institute of Health Data Infrastructure for all, Tokyo Japan.
  • Nakashima N; Medical Information Center, Kyushu University Hospital, Fukuoka Japan.
  • Soejima H; Saiseikai Kumamoto Hospital, Kumamoto Japan.
Comput Methods Programs Biomed ; 214: 106583, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34959156
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA 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 Assunto principal: Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article