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...

Description complète

Détails bibliographiques

Auteurs principaux:	Watanabe O, Narita N, Katsuki M, Ishida N, Cai S, Otomo H, Yokota K
Format:	Artigo
Langue:	Inglês
Publié:	Dove Medical Press 2021-01-01
Collection:	Open Access Emergency Medicine
Sujets:	ambulance transport cardiopulmonary arrest deep learning meteorological factors trauma
Accès en ligne:	https://www.dovepress.com/prediction-model-of-deep-learning-for-ambulance-transports-in-kesennum-peer-reviewed-article-OAEM
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!