Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data

Ohmi Watanabe,1 Norio Narita,2 Masahito Katsuki,2 Naoya Ishida,1 Siqi Cai,1 Hiroshi Otomo,3 Kenichi Yokota3 1Kesennuma City Hospital, Kesennuma, Miyagi 988-0181, Japan; 2Department of Neurosurgery, Kesennuma City Hospital, Kesennuma, Miyagi 988-0181, Japan; 3Department of Surgery, Kesennuma City Hos...

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Detalhes bibliográficos

Principais autores:	Watanabe O, Narita N, Katsuki M, Ishida N, Cai S, Otomo H, Yokota K
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Dove Medical Press 2021-01-01
coleção:	Open Access Emergency Medicine
Assuntos:	ambulance transport cardiopulmonary arrest deep learning meteorological factors trauma
Acesso em linha:	https://www.dovepress.com/prediction-model-of-deep-learning-for-ambulance-transports-in-kesennum-peer-reviewed-article-OAEM
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