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Development and evaluation of a machine learning model predicting out-of-hospital cardiac arrest using environmental factors.

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Title: Development and evaluation of a machine learning model predicting out-of-hospital cardiac arrest using environmental factors.
Authors: Nakashima T; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA. takana@med.umich.edu.; Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan. takana@med.umich.edu.; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan. takana@med.umich.edu., Ogata S; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan., Kiyoshige E; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan., Al-Hamdan MZ; National Center for Computational Hydroscience and Engineering, School of Engineering, University of Mississippi, Oxford, MS, USA.; Department of Civil Engineering, School of Engineering, University of Mississippi, Oxford, MS, USA., Wang Y; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Noguchi T; Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Japan., Shields TA; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA., Al-Araji R; Emory University, Woodruff Health Sciences Center Atlanta, Atlanta, GA, USA., McNally B; Emory University School of Medicine, Atlanta, GA, USA., Nishimura K; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan., Neumar RW; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA.
Source: NPJ digital medicine [NPJ Digit Med] 2025 Dec 22; Vol. 8 (1), pp. 789. Date of Electronic Publication: 2025 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
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  Data: Development and evaluation of a machine learning model predicting out-of-hospital cardiac arrest using environmental factors.
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  Data: <searchLink fieldCode="AU" term="%22Nakashima+T%22">Nakashima T</searchLink>; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA. takana@med.umich.edu.; Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan. takana@med.umich.edu.; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan. takana@med.umich.edu.<br /><searchLink fieldCode="AU" term="%22Ogata+S%22">Ogata S</searchLink>; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan.<br /><searchLink fieldCode="AU" term="%22Kiyoshige+E%22">Kiyoshige E</searchLink>; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan.<br /><searchLink fieldCode="AU" term="%22Al-Hamdan+MZ%22">Al-Hamdan MZ</searchLink>; National Center for Computational Hydroscience and Engineering, School of Engineering, University of Mississippi, Oxford, MS, USA.; Department of Civil Engineering, School of Engineering, University of Mississippi, Oxford, MS, USA.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Noguchi+T%22">Noguchi T</searchLink>; Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Centre, Suita, Japan.<br /><searchLink fieldCode="AU" term="%22Shields+TA%22">Shields TA</searchLink>; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Al-Araji+R%22">Al-Araji R</searchLink>; Emory University, Woodruff Health Sciences Center Atlanta, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22McNally+B%22">McNally B</searchLink>; Emory University School of Medicine, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Nishimura+K%22">Nishimura K</searchLink>; Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Centre, Suita, Japan.<br /><searchLink fieldCode="AU" term="%22Neumar+RW%22">Neumar RW</searchLink>; Department of Emergency Medicine and the Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, USA.
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  Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2025 Dec 22; Vol. 8 (1), pp. 789. <i>Date of Electronic Publication: </i>2025 Dec 22.
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              Text: 2025 Dec 22
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