Regression Models of the Ultrasound Score of Madrid Sonographic Enthesis Index in Patients with Spondyloarthritis
David Castro-Corredo,
Luis Á. Calvo-Pascual,
Marco A. Ramírez-Huaranga
et al.
Abstract:Background Machine learning regression models are built by minimizing the generalization error in the prediction while avoiding overfitting. These techniques enhance the models and forecasts of earlier medical research by achieving greater accuracy than traditional econometric techniques. Objectives To predict the Madrid Sonographic Enthesis Index (MASEI) in spondyloarthritis (SpA) patients using the best predictor variables, including disease activity and other factors. Methods There were cross-sectional, des… Show more
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