Development and evaluation of a machine learning model predicting out-of-hospital cardiac arrest using environmental factors

Abstract Development of an accurate system to predict the daily incidence of out-of-hospital cardiac arrest (OHCA) might provide a significant public health benefit. We developed a machine learning model to predict daily OHCA incidence at the regional level using high-resolution meteorological data,...

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Библиографические подробности

Главные авторы:	Takahiro Nakashima, Soshiro Ogata, Eri Kiyoshige, Mohammad Z. Al-Hamdan, Yifan Wang, Teruo Noguchi, Theresa A. Shields, Rabab Al-Araji, Bryan McNally, Kunihiro Nishimura, Robert W. Neumar
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-12-01
Серии:	npj Digital Medicine
Online-ссылка:	https://doi.org/10.1038/s41746-025-02235-4
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