Supplementing Claims Data with Electronic Medical Records to Improve Estimation and Classification of Rheumatoid Arthritis Disease Activity: A Machine Learning Approach

Supplementing Claims Data with Electronic Medical Records to Improve Estimation and Classification of Rheumatoid Arthritis Disease Activity: A Machine Learning Approach

Objective Previous attempts to estimate rheumatoid arthritis (RA) disease activity using claims data only did not yield high performance. We aimed to assess whether supplementing claims data with readily available electronic medical record (EMR) data might result in improvement. Methods We used a su...

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Bibliographic Details
Main Authors: Candace H. Feldman, Kazuki Yoshida, Chang Xu, Michelle L. Frits, Nancy A. Shadick, Michael E. Weinblatt, Sean E. Connolly, Evo Alemao, Daniel H. Solomon
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:ACR Open Rheumatology
Online Access:https://doi.org/10.1002/acr2.11068

Internet

https://doi.org/10.1002/acr2.11068

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