Big Data Analytics in Heart Attack Prediction

Anmary Sunny , Anagha Saju , Sigma Sathyan

Index Terms: Mobile computing, Healthcare, Communication, Pregnancy. (Key words)

Abstract: In today's world, heart attack is very common. Therefore, it is a big challenge to diagnose the patients timely and correctly. The treatment of heart disease is quite expensive and not affordable for most of the patients. The main goal is to develop a system to predict heart attacks using Big Data techniques. This system is able to discover and extract hidden knowledge about heart diseases from a historical database of heart diseases. It can answer complex queries about heart disease diagnosis, helping doctors make intelligent clinical decisions, which traditional decision support systems cannot. By providing effective treatments, it also helps reduce treatment costs. Big Data analytics, known in the corporate world for its valuable use in controlling, contrasting and managing large amounts of data, can be applied with great success to the prediction, prevention, management and treatment of cardiovascular disease. Therefore, a medical diagnostic system such as the Heart Attack Prediction System would likely be extremely useful.

Published Paper   E-Certificate

"Big Data Analytics in Heart Attack Prediction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1420 - 1423, March-2023, Available :https://ijsdr.org/papers/IJSDR2303243.pdf

Volume 8 Issue 3, March-2023

Pages : 1420 - 1423

Paper Reg. ID: IJSDR_204971

Published Paper Id: IJSDR2303243

Downloads: 000347488

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303243

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303243

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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