Heart Disease Prediction Using ML Algorithm

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Author(s): Atharva Deshmukh (Terna Engineering College, India), Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)and Sangita Krishnaram Toppo (Terna Engineering College, India)
Copyright: 2023
Pages: 22
Source title: The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications
Source Author(s)/Editor(s): Rajiv Pandey (Amity University, Lucknow, India), Amrit Gupta (MRH, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India)and Agnivesh Pandey (D.A-V. College, Chhatrapati Shahu Ji Maharaj University, Kanpur, India)
DOI: 10.4018/978-1-6684-3533-5.ch008

Keywords: Knowledge Management and Library Science / Medical Information Science Reference / Medical Technologies / Telemedicine

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Abstract

Many patients don't get proper treatment due to a shortage of doctors. Thus, predicting a disease using the patient's symptoms has become an important task these days. To solve this there must be a predicting system for predicting diseases. In this chapter, a model is proposed for predicting the disease suffered by a person by knowing the symptoms. The model uses the logistic regression algorithm, which assigns observations to a discrete set of classes and provides a good level of accuracy. It collects the data of a person's symptoms and suggests a suitable disease accordingly. To showcase the accuracy of the proposed model, it has been implemented on a heart disease dataset to predict the occurrence of heart disease. The implementation will illustrate the effectiveness of the proposed model, which can help in the development of an intelligent healthcare system and reduce the cost of treatment.

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