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Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.

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Title: Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.
Authors: Lu SC; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan., Chen GY; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan., Liu AS; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan., Sun JT; Department of Emergency Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan., Gao JW; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Huang CH; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Tsai CL; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan., Fu LC; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Feb 28; Vol. 27, pp. e67576. Date of Electronic Publication: 2025 Feb 28.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.
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  Data: <searchLink fieldCode="AU" term="%22Lu+SC%22">Lu SC</searchLink>; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+GY%22">Chen GY</searchLink>; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+AS%22">Liu AS</searchLink>; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Sun+JT%22">Sun JT</searchLink>; Department of Emergency Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Gao+JW%22">Gao JW</searchLink>; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+CH%22">Huang CH</searchLink>; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tsai+CL%22">Tsai CL</searchLink>; Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Fu+LC%22">Fu LC</searchLink>; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2025 Feb 28; Vol. 27, pp. e67576. <i>Date of Electronic Publication: </i>2025 Feb 28.
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        Value: 10.2196/67576
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              Text: 2025 Feb 28
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