Heart disease prediction using machine learning techniques

Amit Jain; Suresh Babu Dongala; Aruna Kama

doi:10.53022/oarjet.2022.3.1.0028

Heart disease prediction using machine learning techniques

Amit Jain ¹, Suresh Babu Dongala ² and Aruna Kama ^{3, *}

¹ Department of Computer Science & Engineering, SunRise University, Alwar, Rajasthan, India.

² Department of Computer Science, SR & BGNR Government College, Khammam, Telangana, India.

³Department of Computer Science, CKM A&S College, Warangal, Telangana, India.

Research Article

Open Access Research Journal of Engineering and Technology, 2022, 03(01), 001–006.

Article DOI: 10.53022/oarjet.2022.3.1.0028

DOI url: https://doi.org/10.53022/oarjet.2022.3.1.0028

Publication history:

Received on 07 June 2022; revised on 18 July 2022; accepted on 20 July 2022

Abstract:

Heart diseases are commonly caused and when neglected becomes life threatening. So, early detection of the disease is very important and for diagnosis to save lives. There can be many parameters that are to be considered to predict the heart disease. Some of them are like age, cholesterol, blood pressure levels. Etc., here we are going to implement Machine Learning model to predict heart disease.

Keywords:

Heart Disease Detection; Naïve Bayes; Decision Tree; Random Forest; K-Nearest Neighbour (KNN)

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Heart disease prediction using machine learning techniques

Amit Jain 1, Suresh Babu Dongala 2 and Aruna Kama 3, *

Amit Jain ¹, Suresh Babu Dongala ² and Aruna Kama ^{3, *}