What is it about?
Heart disease has infected many people in the world. One of the most common and deadly heart diseases is coronary artery disease (CAD). Early detection can be done by building a system for making predictions. In this study, researchers use the KNN method.
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Why is it important?
Before entering the KNN, the data will perform feature selection using SVM-RFE to find the ideal features and speed up computing time. The computational experiment proves the effectiveness of the Weighted KNN with feature selection.
Perspectives
Although the results of this study are quite good, there are still some limitations such as the lack of a classifier used and also feature selection. So that the next research can add more classifiers and also feature selection techniques
Wayan Mahmudy
Universitas Brawijaya
Read the Original
This page is a summary of: Detection of Coronary Heart Disease Using Modified K-NN Method with Recursive Feature Elimination, September 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3479645.3479664.
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