Research Article
A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques
@ARTICLE{10.4108/eetpht.10.6807, author={V. Sathyavathy}, title={A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={10}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2024}, month={12}, keywords={Cardiovascular Disease, Random Forest Algorithm, Artificial Intelligence, Logistic Regression}, doi={10.4108/eetpht.10.6807} }- V. Sathyavathy
Year: 2024
A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques
PHAT
EAI
DOI: 10.4108/eetpht.10.6807
Abstract
INTRODUCTION: Heart disease remains one of the leading causes of mortality worldwide, necessitating the development of accurate and efficient prediction models OBJECTIVES: To research new models for heart disease prediction METHODS: This paper presents a novel approach for predicting heart disease using advanced artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL) algorithms RESULTS By leveraging patient data and integrating various AI models, this approach aims to enhance prediction accuracy and support early diagnosis and intervention CONCLUSION: This study presents a novel AI-based approach for heart disease prediction, demonstrating the efficacy of ML and DL models in improving diagnostic accuracy
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