UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Volume 11 Issue 10
October-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2410483


Registration ID:
549754

Page Number

e756-e765

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Title

Heart Disease Prediction And Risk Analysis Using ML Techniques

Abstract

Heart diseases remain one of the leading causes of death globally. It, therefore, calls for early detection and proper diagnosis of heart diseases. The paper uses ML classification for heart diseases, which includes no disease, coronary artery disease, arrhythmia, and cardiomyopathy. The project is analyzed in a variety of risk factors-to include age, sex, type of chest pain, body mass index, alcohol consumption, resting blood pressure, cholesterol level, fasting blood sugar, resting electrocardiographic results, maximum heart rate, exercise-induced angina, smoking status, history of stroke, diabetes, ST segment depression, and slope-and does its best to make inferences towards improved classification accuracy of risk in the case of heart disease. Our approach was training and validating multiple models of ML to understand their classification ability regarding disease categories using the described risk factors for possible prediction. The classification, as such, would give a profile of the patient and allow clinicians to identify those at high risk for definite preventive interventions. The results revealed that good clinical decision making can indeed be supported by ML algorithms and could be a highly valuable tool in reducing the burden of the disease from the earliest accurate predictions.

Key Words

Heart Disease Prediction, Machine Learning, Naive Bayes, XGBoost, Decision Tree, Risk Analysis, Predictive Modeling.

Cite This Article

"Heart Disease Prediction And Risk Analysis Using ML Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e756-e765, October-2024, Available :http://www.jetir.org/papers/JETIR2410483.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Heart Disease Prediction And Risk Analysis Using ML Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe756-e765, October-2024, Available at : http://www.jetir.org/papers/JETIR2410483.pdf

Publication Details

Published Paper ID: JETIR2410483
Registration ID: 549754
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: e756-e765
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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