Machine Learning Techniques for Heart Disease Prediction: A Comparative Study and Analysis
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ORIGINAL PAPER
Machine Learning Techniques for Heart Disease Prediction: A Comparative Study and Analysis Rahul Katarya1 · Sunit Kumar Meena1 Received: 22 July 2020 / Accepted: 29 October 2020 © IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Nowadays, people are getting caught in their day-to-day lives doing their work and other things and ignoring their health. Due to this hectic life and ignorance towards their health, the number of people getting sick increases every day. Moreover, most of the people are suffering from a disease like heart disease. Global deaths of almost 31% population are due to heartrelated disease as data contributed by the World Health Organization (WHO). So, the prediction of happening heart disease or not becomes important for the medical field. However, data received by the medical sector or hospitals is so huge that sometimes it becomes difficult to analyze. Using machine learning techniques for this prediction and handling of data can become very efficient for medical people. Hence in this study, we have discussed the heart disease and its risk factors and explained machine learning techniques. Using that machine learning techniques, we have predicted heart disease and provided a comparative analysis of the algorithms for machine learning used for the experiment of the prediction. The goal or objective of this research is completely related to the prediction of heart disease via a machine learning technique and analysis of them. Keywords Heart disease · Risk · Machine learning · Features · Algorithms · Cardiovascular disease (CVD)
1 Introduction In today’s world, everyone is getting busy in their lives and work so much that they do not even have the time to take care of themselves. Most of the time people experience stress, anxiety, depression, and many other things due to their hectic lives. Considering these as main factors, they are getting sick and having severe diseases. There are many diseases such as cancer, heart disease, tuberculosis, etc. which lead to the death of the people every year but the highest rate of deaths in the medical field is by having heart disease or Cardiovascular disease (CVD) [1]. Global deaths of almost 31% population are due to heart-related disease as data contributed by the World Health Organization (WHO). According to WHO almost 15.2 million deaths were caused by heart-related disease or Cardiovascular Disease. For * Rahul Katarya [email protected] Sunit Kumar Meena [email protected] 1
Department of Computer Science & Engineering, Delhi Technological University, Shahbad Daulatpur, Delhi ‑110042, India
15 years, cardiovascular diseases are the highest cause of death. If we talk about India, WHO has claimed that almost $237 billion are lost due to heart-related diseases from 2005–2015 [2]. A vital part of the human body is the heart. All the pumping of the blood is done by heart to every part of the body and through that blood oxygen, and other nutrients are supplied to the body. Other organs of th
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