Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.
Machine learning predicts juvenile idiopathic arthritis in children: 223,195 analyzed, AUC up to 0.9130! 📊🤖
