Machine Learning to Predict Remission Between Six and 24 Months in Rheumatoid Arthritis: Insights from the JAK‐pot Collaboration

Key Points

• The research evaluates how well machine learning can predict remission in rheumatoid arthritis over a specified time frame.
• Analyzed baseline data from 11 registries
• Compared a ten-variable predictive model and logistic regression
• Assessed performance of models in predicting remission
• Prediction shows limited ability to discriminate between remission and non-remission
• Model complexity offers minimal additional value
• Logistic regression performs similarly to the ten-variable model