ISSN : 2663-2187

Cardio Care: A Data-Driven Approach for Heart Disease Prediction

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Gorla Hemanth Reddy, Ravilla Girish Chandra, Sadineni Ajay, Tallapureddy Sai Venkat Reddy, Burra Vijay Babu
» doi: 10.48047/AFJBS.6.14.2024.5026-5037

Abstract

This research papers gives an analysation over the features of the heart disease analysis module that deals with a wide range of complications. Heart can be called as the most crucial and useful organ in the body of any organism especially in the human body. It plays a very important and purpose full role. Diagnosis of heart is very important and regular check-ups regarding heart and heart related diseases can be helpful in living a healthy life. To tackle such heart complications and to help people be cautious regarding their heart conditions there exists an essential urge of heart disease prediction system. Data sciences provides the noticeable support in predicting any type of the event which demands a structural training from the naturally occurring events. Data sciences and data science can be considered as the most popular and infamous platform for the sake of disease analysis, while the convenience of utilising it along with the computational domination in the array of modules that grabs the attention millions of patients all over globe, which also demands the several technical concerns in different platforms. In this research paper we will be analysing the accuracy of data sciences in predicting the heart diseases.

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