Predicting disease flares in axial spondyloarthritis using different machine learning models in the METEOR-SpA registry.
OBJECTIVES: To develop and externally validate machine learning models for predicting disease flares in axial spondyloarthritis (axSpA) using real-world registry data. CONCLUSIONS: A reduced logistic-regression model showed moderate internal and modest external discrimination for short-term flare risk in axSpA.
OBJECTIVES: To develop and externally validate machine learning models for predicting disease flares in axial spondyloarthritis (axSpA) using real-world registry data. CONCLUSIONS: A reduced logistic-regression model showed moderate internal and modest external discrimination for short-term flare risk in axSpA.
What the study was
- Study design
- Observational Study
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- RMD Open
Why it surfaced
Topic: AI and ML in clinical diagnostics; Score 6/10 → STANDARD priority
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