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

2025-11-17

Abstract excerpt

<h4>Objective</h4> Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. However, RA disease activity is inconsistently recorded in real-world electronic health records (EHR) data limiting the generation of real-world evidence (RWE). This study aimed to develop and validate scalable machine learning (ML) models to infer RA disease activity from EHR data. <h4>Methods</h4> We conduct...

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Literature Corpus work
2ca2f2b8-aeb7-5662-bf88-64089c153f33
DOI
10.1101/2025.11.13.25340003
Open publication

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Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems to enable real-world data studiesDOI 10.1101/2025.11.13.25340003
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