Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest

Predicting out-of-hospital cardiac arrest (OHCA) events might improve outcomes of OHCA patients. We hypothesized that machine learning algorithms using meteorological information would predict OHCA incidences. We used the Japanese population-based repository database of OHCA and weather information....

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Detalles Bibliográficos
Autores principales: Shimada-Sammori, Kaoru, Shimada, Tadanaga, Miura, Rie E., Kawaguchi, Rui, Yamao, Yasuo, Oshima, Taku, Oami, Takehiko, Tomita, Keisuke, Shinozaki, Koichiro, Nakada, Taka-aki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279733/
https://www.ncbi.nlm.nih.gov/pubmed/37336904
http://dx.doi.org/10.1038/s41598-023-36270-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279733/
https://www.ncbi.nlm.nih.gov/pubmed/37336904
http://dx.doi.org/10.1038/s41598-023-36270-6

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