Heart Disease Prediction

Akanksha Rajkumar Rajmane; Sanika Dhananjay Pawar; Pooja Ghuge(Guide)

doi:10.71097/IJSAT.v16.i2.3110

Heart Disease Prediction

Author(s)	Akanksha Rajkumar Rajmane, Sanika Dhananjay Pawar, Pooja Ghuge(Guide)
Country	India
Abstract	We are living in the modern Technological era, and we are trying to solve the problem using technology for that we are striving for more knowledge with help of our technology, the more our lifestyle is changing. In the fast growing world everyone is neglecting their Health.Result of this Health diseases are increasing day by day due to our lifestyle and other hereditary reasons. Especially Heart Diseases have become a major issue these days.WHO report that over 11 million deaths are caused each year worldwide due to heart related complications. Using this we can understand that the condition is very serious.There is an urgent need for some technological solutions which can help in educating people and early diagnosis of these disease. This requires a string infrastructure including a large enough work force, which is a slow process. In the recent year machine learning has evolved a lot .To resolve this problem we can use Machine Learning that can help us in this. Sudden increase in the number of patients depict the need for scalability in our medical system. While work force may be limited, we can look for algorithmic solutions for screening and diagnosis stages, due to their correlation with Our project "Heart Health Classification and Early Diagnosis of Heart Disease" is a system that uses predictive capability of machine learning models based on similar data points collected in past. We are going to use the previous medical report data to predict the risk of heart disease.Using our system user can estimate the chance of being suffer from heart disease.Our system takes input data and runs 5 Machine Learning Models on the data and gives the result. We are trying to provide the user friendly platform to user that can be access remotely to screening facilities that will predict the risk of heart disease and that will eliminate the load on the medical system.
Keywords	Heart Disease
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-07
Cite This	Heart Disease Prediction - Akanksha Rajkumar Rajmane, Sanika Dhananjay Pawar, Pooja Ghuge(Guide) - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3110
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3110
Short DOI	https://doi.org/g9dpfr

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4 Cover Page Vol 15 Isu 3 Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Heart Disease Prediction

Share this