Detailed research protocol for developing and validating multinomial logistic regression model predicting five-level heart disease severity using 920 patient records with clinical and demographic features. Covers model development methodology, data preprocessing, handling class imbalance, internal validation (80/20 split), performance metrics (accuracy 50%, ROC AUC 0.78), and fairness considerations across demographic groups with recommendations for clinical deployment optimization.
