Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen by various feature-selection methods. Four commonly used heart disease datasets have been evaluated using principal component analysis. Chi squared ... https://www.redeturismobrasil.com/product-category/autograph-tickets/
Exploring feature selection and classification methods for predicting heart disease
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