A Novel Cluster And Rank Based Method For Prediction Of Heart Diseases

K Aravinthan

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English

Ary Publisher
25 March 2023

Medical diagnosis; Cardiovascular medicine; Coping with illness

Summary
Details

Heart disease is a leading cause of death worldwide, and early prediction is crucial for effective prevention and management. A novel cluster and rank-based method for prediction of heart disease involves using machine learning algorithms to cluster patients based on similar risk factors and rank them based on their likelihood of developing cardiovascular disease.

This method utilizes feature selection techniques to identify the most important risk factors and uses a classification model to predict the risk of heart disease based on these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC.

This approach has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify subgroups of patients with similar risk profiles, and the potential to integrate data from electronic health records and other sources.

By: K Aravinthan
Imprint: Ary Publisher
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 159g
ISBN: 9783895366000
ISBN 10: 3895366005
Pages: 112
Publication Date: 25 March 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active