Article

A machine learning model for predicting out-of-hospital cardiac arrest incidence using meteorological, chronological, and geographical data from the United States

2023-05-10

Abstract excerpt

<h4>Background</h4> Despite advances in pre- and post-resuscitation care, percentage of survival to hospital discharge after out-of-hospital cardiac arrest (OHCA) was extremely low. Development of an accurate system to predict the daily incidence of OHCA might provide a significant public health benefit. Here, we developed and validated a machine learning (ML) predictive model for daily OHCA incidence using high-r...

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Literature Corpus work: 7e7cf1cf-461d-5bb6-9906-c79f0d6c0aa6
DOI: 10.1101/2023.05.08.23289698

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