Heart Attack Prediction Using Machine Learning

Heart Attack Prediction Using Machine Learning
Author(s):
Aryan Dharmadhikari, Dhanashri Rajput, Ayush Dhangar, Tanish Dhangar, Manish Dhane, Roshani Dhembare
Keywords:
Disease prediction, Machine Learning, Performance measures, Classification Accuracy, Data pre-processing, coronary, statistics.
Abstract
In recent times, Heart-Disease prediction is one of the most complicated tasks in medical field. In the modern era, approximately one person dies per minute due to heart disease. As heart disease prediction is a complex task, there is a need to automate the prediction process to avoid risks associated with it and alert the patient well in advance. Data Science and machine learning (ML) can be very helpful in the prediction of heart attacks in which different risk factors like high blood pressure, high cholesterol, abnormal pulse rate, diabetes, etc... can be considered. The objective of this study is to optimize the prediction of heart disease using ML.
Article Details
Unique Paper ID: 161913 Publication Volume & Issue: Volume 10, Issue 7 Page(s): 36 - 41
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