Machine learning-based prediction models for accidental hypothermia patients

BACKGROUND: Accidental hypothermia is a critical condition with high risks of fatal arrhythmia, multiple organ failure, and mortality; however, there is no established model to predict the mortality. The present study aimed to develop and validate machine learning-based models for predicting in-hosp...

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Detalles Bibliográficos
Autores principales: Okada, Yohei, Matsuyama, Tasuku, Morita, Sachiko, Ehara, Naoki, Miyamae, Nobuhiro, Jo, Takaaki, Sumida, Yasuyuki, Okada, Nobunaga, Watanabe, Makoto, Nozawa, Masahiro, Tsuruoka, Ayumu, Fujimoto, Yoshihiro, Okumura, Yoshiki, Kitamura, Tetsuhisa, Iiduka, Ryoji, Ohtsuru, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797142/
https://www.ncbi.nlm.nih.gov/pubmed/33422146
http://dx.doi.org/10.1186/s40560-021-00525-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797142/
https://www.ncbi.nlm.nih.gov/pubmed/33422146
http://dx.doi.org/10.1186/s40560-021-00525-z

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