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Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information.
Jimba, Takahiro; Kodera, Satoshi; Kohsaka, Shun; Otsuka, Toshiaki; Harada, Kazumasa; Shindo, Akito; Shiraishi, Yasuyuki; Kohno, Takashi; Takei, Makoto; Nakano, Hiroki; Matsuda, Junya; Yamamoto, Takeshi; Nagao, Ken; Takayama, Morimasa.
Afiliación
  • Jimba T; Tokyo CCU Network Scientific Committee, Tokyo, Japan; Department of Cardiovascular Medicine, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan. Electronic address: blackjtaka@yahoo.co.jp.
  • Kodera S; Tokyo CCU Network Scientific Committee, Tokyo, Japan; Department of Cardiovascular Medicine, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kohsaka S; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Otsuka T; Tokyo CCU Network Scientific Committee, Tokyo, Japan; Department of Hygiene and Public Health, Nippon Medical School, Tokyo, Japan.
  • Harada K; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Shindo A; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Shiraishi Y; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Kohno T; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Takei M; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Nakano H; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Matsuda J; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Yamamoto T; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Nagao K; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
  • Takayama M; Tokyo CCU Network Scientific Committee, Tokyo, Japan.
J Card Fail ; 30(2): 404-409, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37952642
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Insuficiencia Cardíaca Límite: Humans Idioma: En Revista: J Card Fail Asunto de la revista: CARDIOLOGIA Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Insuficiencia Cardíaca Límite: Humans Idioma: En Revista: J Card Fail Asunto de la revista: CARDIOLOGIA Año: 2024 Tipo del documento: Article