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Large Language Model - Enhanced Decision Tree Framework for Identifying Multiple Sclerosis Diagnoses from Clinical Documentation.

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Title: Large Language Model - Enhanced Decision Tree Framework for Identifying Multiple Sclerosis Diagnoses from Clinical Documentation.
Authors: Venkatesh S, DelSignore M, Wu X, Morris M, Kerr WT, Visweswaran S, Wang Y, Xia Z
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Jul 17. Date of Electronic Publication: 2026 Jul 17.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Large Language Model - Enhanced Decision Tree Framework for Identifying Multiple Sclerosis Diagnoses from Clinical Documentation.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2026 Jul 17. <i>Date of Electronic Publication: </i>2026 Jul 17.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42523497
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.64898/2026.07.14.26357416
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      – Code: eng
        Text: English
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      – TitleFull: Large Language Model - Enhanced Decision Tree Framework for Identifying Multiple Sclerosis Diagnoses from Clinical Documentation.
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            NameFull: Venkatesh S
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            NameFull: DelSignore M
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            NameFull: Wu X
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            NameFull: Morris M
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            NameFull: Kerr WT
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            NameFull: Visweswaran S
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            NameFull: Wang Y
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          Dates:
            – D: 17
              M: 07
              Text: 2026 Jul 17
              Type: published
              Y: 2026
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