HIGHLIGHTS
- who: Osman Taylan and colleagues from the Department of Industrial Engineering, Faculty of Engineering, King University, Jeddah, Saudi Arabia have published the research: Early Prediction in Classification of Cardiovascular Diseases with Machine Learning, Neuro-Fuzzy and Statistical Methods, in the Journal: Biology 2023, 12, 117. of 12/Nov/2022
- what: The authors propose a methodology using machine learning (ML) approaches to predict classify and improve the diagnostic accuracy of CVDs including support vector regression (SVR) multivariate adaptive regression splines the M5Tree model and neural networks for the training process. The authors compare the hybrid models . . .
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