Machine Learning Models for Cardiovascular Disease Prediction: A Comparative Study
Chao Yan, Yiluan Xing, Sensen Liu, Erdi Gao, Jinyin Wang
This study compares KNN, logistic regression, and random forest for predicting cardiovascular disease using a Kaggle dataset, finding random forest to be the most accurate.
IEEE International Conference on Big Data and Artificial Intelligence (BDAI) · Jul 5, 2024Peer-reviewedCancer Biology