Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data.

Takahiro NakashimaSoshiro OgataTeruo NoguchiYoshio TaharaDaisuke OnozukaSatoshi KatoYoshiki YamagataSunao KojimaTaku IwamiTetsuya SakamotoKen NagaoHiroshi NonogiSatoshi YasudaKoji IiharaRobert NeumarKunihiro Nishimura

Published in: Heart (British Cardiac Society) (2021)

A ML predictive model using comprehensive daily meteorological and chronological data allows for highly precise estimates of OHCA incidence.

Keyphrases

machine learning
big data
electronic health record
air pollution
healthcare
risk factors
physical activity
left ventricular
emergency department
heart failure
adverse drug
cardiac arrest