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

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, ...

An interdisciplinary research team has unveiled the world's first artificial intelligence (AI) model designed to classify both the cancer stage and risk category of thyroid cancer, achieving ...

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.

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...