Heart Attack Prediction Using Machine Learning

Year : 2023 | Volume :01 | Issue : 01 | Page : –
By

    Sumit Halder

  1. Amit Chakraborty

  2. Saswati Naskar

  3. Saibal Majumder

  1. Student, Department of Computer Science and Engineering, Greater Kolkata College of Engineering and Management (GKCEM), Kolkata, India
  2. Student, Department of Computer Science and Engineering, Greater Kolkata College of Engineering and Management (GKCEM),, Kolkata, India
  3. Assistant Professor, Department of Computer Science and Engineering, Greater Kolkata College of Engineering and Management (GKCEM),, Kolkata, India
  4. Assistant Professor, Department of Computer Science and Engineering, Greater Kolkata College of Engineering and Management (GKCEM),, Kolkata, India

Abstract

Heart attacks have become a prevalent and serious condition in recent years due to a variety of causes. Numerous variables, including age, sex, fat, and others, can be used to predict it. In the current study, it was found that a data set with 13 parameters and 302 distinct data values, collected from a Kaggle dataset to assess patient condition, was covered. This article delves into the application of machine learning and artificial intelligence algorithms for the prevention of heart disease. The primary objective of this study is to enhance the accuracy and precision of identifying cardiac ailments by utilizing advanced algorithms. These algorithms play a pivotal role in discerning the presence or absence of cardiac issues within a given case. By harnessing the power of these technologies, the article aims to revolutionize cardiac complaint detection, ultimately contributing to early intervention and improved patient outcomes in the realm of heart disease management.

Keywords: Artificial Intelligence, Machine Learning, Regression, SVM, Logistic Regression

[This article belongs to International Journal of Biomedical Innovations and Engineering(ijbie)]

How to cite this article: Sumit Halder, Amit Chakraborty, Saswati Naskar, Saibal Majumder , Heart Attack Prediction Using Machine Learning ijbie 2023; 01:-
How to cite this URL: Sumit Halder, Amit Chakraborty, Saswati Naskar, Saibal Majumder , Heart Attack Prediction Using Machine Learning ijbie 2023 {cited 2023 Aug 10};01:-. Available from: https://journals.stmjournals.com/ijbie/article=2023/view=117710


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Regular Issue Subscription Original Research
Volume 01
Issue 01
Received July 13, 2023
Accepted July 30, 2023
Published August 10, 2023
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