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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedNorgeot B, Glicksberg BS, Trupin L
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis.
This study researched the use of artificial intelligence learning models to predict clinical outcomes in patients with rheumatoid arthritis (RA). Patients from a university hospital (UH) and a public safety-net hospital (SNH). The populations were quite different from each other. A total of 578 UH patients and 242 SNH patients were included in the study. Patients at the UH were seen more frequently than the SNH patients and were often prescribed high-class medications (63% vs. 28.9%). The model that was used showed a statistically random performance based on each patients’ most recent disease activity score.
AHRQ-funded; HS024412.
Citation: Norgeot B, Glicksberg BS, Trupin L .
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis.
JAMA Netw Open 2019 Mar;2(3):e190606. doi: 10.1001/jamanetworkopen.2019.0606..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes