Paper Title
Heart Disease Prediction Using Machine Learning
Article Identifiers
Authors
Kshitij Raj
Keywords
Heart attack, KNN, SVM, Logistic classifier, blood pressure, CVD.
Abstract
Cardiovascular disease is becoming the most common reason for death. In today’s time heart cases have grown rapidly in the past few years, thus it's important to identify potential illnesses in advance. The estimate is a difficult task and requires accuracy. This research aims to figure out whether the person is having any heart illness, using machine learning to design the prediction model of heart illness a variety of methods including KNN, SVM, and logistic classifier have been implemented. The model's ability to develop the precision of forecasting heart illness in each individual was calibrated using a highly valuable technique. The strength of the proposed model was very satisfactory. The model accuracy was evaluated using various machine algorithms KNN, logistic classifier, and SVM to analyse the signs of heart illness in specific individuals.
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How To Cite (APA)
Kshitij Raj (June-2023). Heart Disease Prediction Using Machine Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), e555-e560. https://ijnrd.org/papers/IJNRD2306465.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : e555-e560
Other Publication Details
Paper Reg. ID: IJNRD_200088
Published Paper Id: IJNRD2306465
Downloads: 000121991
Research Area: Engineering
Country: new delhi, Delhi , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306465.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306465
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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