Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs.

ABSTRACT:

Background

Biological disease-modifying anti-rheumatic drugs (bDMARDs) can be tapered in some rheumatoid arthritis (RA) patients in sustained remission. The purpose of this study was to assess the feasibility of building a model to estimate the individual flare probability in RA patients tapering bDMARDs using machine learning methods.

Methods

Longitudinal clinical data of RA patients on bDMARDs from a randomized controlled trial of treatment withdrawal (RETRO) were used to build a predictive model to estimate the probability of a flare. Four basic machine learning models were trained, and their predictions were additionally combined to train an ensemble learning method, a stacking meta-classifier model to predict the individual flare probability within 14 weeks after each v

SUBMITTER: Vodencarevic A 

PROVIDER: S-EPMC7913400 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature