An Artificial Intelligence Based Prediction Methods For Predicting Heart Disease

Registration ID: IJNRD_192318

Published ID: IJNRD2304485

DOI: http://doi.one/10.1729/Journal.33900

M. Sujana , Y. Likhitha , M. Tejeswari , Ch. Teja Sree , K. Shalini,Smt. S. Rama devi

Keywords: Supervised; Unsupervised; Reinforced; linear regression; Random forest; python programming; Jupyter notebook; confusion matrix.

ABSTRACT Heart disease is a medical condition that encompasses various problems related to the heart, such as damaged blood vessels, structural abnormalities, and blood clots. According to a report published by the Indian Council of Medical Research (ICMR), cardiovascular diseases are responsible for almost 17% of all deaths in India. On average, approximately 28,000 people in India die every year due to heart disease, which is caused by several factors including cholesterol levels, blood sugar levels, and other health issues. While we won't delve into the details of how heart attacks occur, our objective is to develop an AI-based heart disease detection system that can predict heart disease based on 14 key attributes. To achieve this, we will use machine learning techniques and three algorithms, namely k-nearest neighbor, logistic regression, and random forest, with the help of the UCI repository dataset. The UCI Machine Learning Repository contains numerous databases that are widely used by the machine learning community to conduct empirical analyses of various machine learning algorithms.

Published Paper   E-Certificate

M. Sujana, Y. Likhitha, M. Tejeswari, Ch. Teja Sree, & K. Shalini,Smt. S. Rama devi (April-2023). An Artificial Intelligence Based Prediction Methods For Predicting Heart Disease. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e640-e646. http://doi.one/10.1729/Journal.33900

Volume 8 Issue 4, April-2023

Pages : e640-e646

Paper Reg. ID: IJNRD_192318

Published Paper Id: IJNRD2304485

Downloads: 000121984

Research Area: Engineering

Country: Visakhapatnam, Andhra pradesh, India

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Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304485

Crossref DOI: http://doi.one/10.1729/Journal.33900

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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