A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

A grading model for radiation dermatitis achieved high overall accuracy; however, sensitivity and specificity varied across grades but were more balanced in grade 4 dermatitis.

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...