A Novel Approach to Heart Disease Prediction Using Artificial Intelligence Techniques

V. Sathyavathy

doi:10.4108/eetpht.10.6807

Authors

V. Sathyavathy KG College of Arts and Science

DOI:

https://doi.org/10.4108/eetpht.10.6807

Keywords:

Cardiovascular Disease, Random Forest Algorithm, Artificial Intelligence, Logistic Regression

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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