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Predicting relations between SOAP note sections: The value of incorporating a clinical information model.

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Title: Predicting relations between SOAP note sections: The value of incorporating a clinical information model.
Authors: Socrates, Vimig1,2,3, vimig.socrates@yale.edu, Gilson, Aidan2, aidan.gilson@yale.edu, Lopez, Kevin1,2, kevin.lopez@yale.edu, Chi, Ling2, ling.chi@yale.edu, Taylor, Richard Andrew1,2, richard.taylor@yale.edu, Chartash, David1,4, david.chartash@yale.edu
Source: Journal of Biomedical Informatics; May2023, Vol. 141, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163514800
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Predicting relations between SOAP note sections: The value of incorporating a clinical information model.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163514800
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      – Type: doi
        Value: 10.1016/j.jbi.2023.104360
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        Text: English
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        StartPage: N.PAG
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      – TitleFull: Predicting relations between SOAP note sections: The value of incorporating a clinical information model.
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            – D: 01
              M: 05
              Text: May2023
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              Y: 2023
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