Cardiac Risk Factors Identification with Hybrid Statistical Approach and Prediction of Cardiovascular Disease with Machine Learning-Reference-Cited by-同舟云学术

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Cardiac Risk Factors Identification with Hybrid Statistical Approach and Prediction of Cardiovascular Disease with Machine Learning

Published:2023-12-13 Issue: Volume:2 Page:41-46
ISSN:
Container-title:2023 OITS International Conference on Information Technology (OCIT)
language:
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Author:

Bandyopadhyay Soham¹,Sarma Monalisa²,Samanta Debasis³

Affiliation:

1. IIT Kharagpur,Advanced Technology Development Centre,Kharagpur,India

2. IIT Kharagpur,Subir Chowdhury School of Quality and Reliability,Kharagpur,India

3. IIT Kharagpur,Department of CSE,Kharagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430418/10430505/10430934.pdf?arnumber=10430934

Reference33 articles.

1. Early and accurate detection and diagnosis of heart disease using intelligent computational model

2. Inter-correlation of risk factors among heart patients

3. Prevalence and clustering of cardiovascular disease risk factors in rural Nepalese population aged 40–80 years

4. Statistical Analysis of Risk Factors for Cardiovascular disease in Malakand Division

5. Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques

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