Early Detection of Heart Disease using Machine Learning Techniques

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Year : 2025 | Volume : 12 | Issue : 03 | Page :
    By

    Dhananjay Yeola,

  • Prashant Yawalkar,

  • Ranjana Dahake,

  1. Teaching Assistant, Department of Computer Engineering, Mumbai Educational Trust’s Institute of Engineering at Bhujbal Knowledge City, Nashik, India
  2. Student, Department of Computer Engineering, Mumbai Educational Trust’s Institute of Engineering at Bhujbal Knowledge City, Nashik, India
  3. Student, Department of Computer Engineering, Mumbai Educational Trust’s Institute of Engineering at Bhujbal Knowledge City, Nashik, India

Abstract

Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With the continuous growth of healthcare datasets and advancements in computational power, machine learning has emerged as a powerful tool for assisting medical professionals in identifying individuals at risk of heart disease at an early stage. This literature review aims to provide a detailed examination of the current body of research surrounding coronary illness prediction through ML techniques, emphasizing a range of approaches, algorithms, and methodologies. Furthermore, it highlights key models, comparative findings, and emerging trends, thereby demonstrating the potential of ML-driven decision-making in improving diagnostic accuracy and enhancing patient outcomes.

Keywords: Artificial intelligence (AI), machine learning (ML), coronary illness prediction, heart disease risk assessment, clinical data analysis.

[This article belongs to Research & Reviews: A Journal of Bioinformatics ]

How to cite this article:
Dhananjay Yeola, Prashant Yawalkar, Ranjana Dahake. Early Detection of Heart Disease using Machine Learning Techniques. Research & Reviews: A Journal of Bioinformatics. 2025; 12(03):-.
How to cite this URL:
Dhananjay Yeola, Prashant Yawalkar, Ranjana Dahake. Early Detection of Heart Disease using Machine Learning Techniques. Research & Reviews: A Journal of Bioinformatics. 2025; 12(03):-. Available from: https://journals.stmjournals.com/rrjobi/article=2025/view=230781


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 26/03/2025
Accepted 01/09/2025
Published 08/11/2025
Publication Time 227 Days
74

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