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Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems to enable real-world data studies.

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Title: Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems to enable real-world data studies.
Authors: Cheng D, Wang X, McDermott GC, Hanberg JS, Love Z, Zhong K, Jeffway M, Hou J, Panickan V, Sangar R, Qi Y, Melley C, Costa L, Feil D, Matty R, Weisenfeld D, Animashaun A, Schreiner A, Morini S, Rusnak L, Cagan A, Paudel M, Michael Gaziano J, Sauer B, Weinblatt M, Baker J, England B, Ho YL, Cho K, Monach P, Cannon GW, Shadick N, Mikuls TR, Cai T, Liao KP
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Nov 17. Date of Electronic Publication: 2025 Nov 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
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Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41332836
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2025 Nov 17. <i>Date of Electronic Publication: </i>2025 Nov 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
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        Value: 10.1101/2025.11.13.25340003
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              Text: 2025 Nov 17
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