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

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Bibliographic Details
Title: Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data.
Authors: Nakashima T; Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.; Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral Cardiovascular Centre, Suita, Japan., Ogata S; Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral Cardiovascular Centre, Suita, Japan., Noguchi T; Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Japan tnoguchi@ncvc.go.jp., Tahara Y; Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Japan., Onozuka D; Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral Cardiovascular Centre, Suita, Japan., Kato S; H.U. Group Research Institute G.K, Tokyo, Japan., Yamagata Y; National Institute for Environmental Studies, Tsukuba, Japan., Kojima S; Department of General Internal Medicine 3, Kawasaki Medical School, Kurashiki, Japan., Iwami T; Health Service, Kyoto University, Kyoto, Japan., Sakamoto T; Department of Emergency Medicine, Teikyo University, Itabashi-ku, Japan., Nagao K; Cardiovascular Centre, Nihon University Hospital, Tokyo, Japan., Nonogi H; Shizuoka General Hospital, Shizuoka, Japan., Yasuda S; Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan., Iihara K; National Cerebral and Cardiovascular Center, Suita, Osaka, Japan., Neumar R; Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA., Nishimura K; Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral Cardiovascular Centre, Suita, Japan.
Source: Heart (British Cardiac Society) [Heart] 2021 Jun 11; Vol. 107 (13), pp. 1084-1091. Date of Electronic Publication: 2021 Jun 11.
Publication Type: Journal Article
Journal Info: Publisher: BMJ Pub. Group Country of Publication: England NLM ID: 9602087 Publication Model: Electronic Cited Medium: Internet ISSN: 1468-201X (Electronic) Linking ISSN: 13556037 NLM ISO Abbreviation: Heart Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1468-201X
DOI:10.1136/heartjnl-2020-318726