Ke-Liang Li

Comparative Analysis of Logistic Regression and Random Forest Models for Cardiovascular Disease Prediction Using Clinical Data

. Cardiovascular disease remains a significant global health burden, making it crucial to construct accurate risk prediction models. Analyzing a large clinical dataset, this study evaluates the performance of logistic regression and random forest models in predicting cardiovascular and cerebrovascular diseases. Data ar...