Identifying chronic disease patients using predictive algorithms in pharmacy administrative claims: an application in rheumatoid arthritis.
Objective: To evaluate the predictive performance of logistic and linear regression versus machine learning (ML) algorithms to identify patients with rheumatoid arthritis (RA) treated with target immunomodulators (TIMs) using only pharmacy administrative claims. Methods: Adults aged 18-64 years with...
| Published in: | Journal of Medical Economics Vol. 24; pp. 1272 - 1280 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Taylor & Francis Ltd
Nov2021
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| Online Access: | View this record in EBSCOhost |