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Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data.

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Title: Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data.
Authors: Lin, Wei-Chun1,2, Chen, Aiyin2, Song, Xubo1, Weiskopf, Nicole G1, Chiang, Michael F3,4, Hribar, Michelle R1,2,3, hribarm@ohsu.edu
Source: Journal of the American Medical Informatics Association; Feb2024, Vol. 31 Issue 2, p456-464, 9p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174909860
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Feb2024, Vol. 31 Issue 2, p456-464, 9p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174909860
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jamia/ocad213
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 456
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      – TitleFull: Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data.
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            NameFull: Lin, Wei-Chun
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            NameFull: Chen, Aiyin
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            NameFull: Song, Xubo
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            NameFull: Weiskopf, Nicole G
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            NameFull: Chiang, Michael F
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            – D: 01
              M: 02
              Text: Feb2024
              Type: published
              Y: 2024
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