Machine learning-based mortality prediction model for heat-related illness

Machine learning-based mortality prediction model for heat-related illness

Abstract In this study, we aimed to develop and validate a machine learning-based mortality prediction model for hospitalized heat-related illness patients. After 2393 hospitalized patients were extracted from a multicentered heat-related illness registry in Japan, subjects were divided into the tra...

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Autores principales: Yohei Hirano, Yutaka Kondo, Toru Hifumi, Shoji Yokobori, Jun Kanda, Junya Shimazaki, Kei Hayashida, Takashi Moriya, Masaharu Yagi, Shuhei Takauji, Junko Yamaguchi, Yohei Okada, Yuichi Okano, Hitoshi Kaneko, Tatsuho Kobayashi, Motoki Fujita, Hiroyuki Yokota, Ken Okamoto, Hiroshi Tanaka, Arino Yaguchi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/a339b3e4021e4bf29780ed3e55dd3c72
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