Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis | Zendy

Vanessa L. Kronzer | Zendy; Liwei Wang | Zendy; Hongfang Liu | Zendy; John M. Davis | Zendy; Jeffrey A. Sparks | Zendy; Cynthia S. Crowson | Zendy

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Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis

Author(s) -

Vanessa L. Kronzer,

Liwei Wang,

Hongfang Liu,

John M. Davis,

Jeffrey A. Sparks,

Cynthia S. Crowson

Publication year - 2020

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa014

Subject(s) - medicine , rheumatoid arthritis , cohort , biobank , medical record , diagnosis code , algorithm , electronic health record , duration (music) , predictive value , population , bioinformatics , health care , computer science , art , literature , environmental health , economics , biology , economic growth

The study sought to determine the dependence of the Electronic Medical Records and Genomics (eMERGE) rheumatoid arthritis (RA) algorithm on both RA and electronic health record (EHR) duration.

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