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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, Shao-Chi1, Chen, Guang-Yuan1, Liu, An-Sheng1, Sun, Jen-Tang2, Gao, Jun-Wan3, Huang, Chien-Hua3, Tsai, Chu-Lin3, chulintsai@ntu.edu.tw, Fu, Li-Chen1
Source: Journal of Medical Internet Research; 2025, Vol. 27, p1-15, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190700706
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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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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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190700706
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      – Type: doi
        Value: 10.2196/67576
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
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      – TitleFull: Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.
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            NameFull: Lu, Shao-Chi
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            NameFull: Chen, Guang-Yuan
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            NameFull: Liu, An-Sheng
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            NameFull: Sun, Jen-Tang
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            NameFull: Huang, Chien-Hua
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            – D: 01
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              Text: 2025
              Type: published
              Y: 2025
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              Value: 27
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