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

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Bibliographic Details
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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