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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 80

Article Submitted : 5819

Article Published : 3222

Total Authors : 8187

Total Reviewer : 541

Total Countries : 71

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Published Paper Details
Paper Title: Prediction of Heart Disease Using Machine Learning Algorithm
Authors Name: Prathyusha Ammisetty , Dr. Chiranjeevi Paritala
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IJRTI_184551
Published Paper Id: IJRTI2211030
Published In: Volume 7 Issue 11, November-2022
DOI:
Abstract: Heart plays significant role in living organisms. Diagnosis and prediction of heart related diseases requires more precision, perfection and correctness because a little mistake can cause fatigue problem or death of the person, there are numerous death cases related to heart and their counting is increasing exponentially day by day. To deal with the problem there is essential need of prediction system for awareness about diseases. Machine learning is the branch of Artificial Intelligence(AI), it provides prestigious support in predicting any kind of event which take training from natural events. In this paper, we calculate accuracy of machine learning algorithms for predicting heart disease, for this algorithms are k-nearest neighbor, decision tree, linear regression and support vector machine(SVM) by using UCI repository dataset for training and testing. For implementation of Python programming Anaconda(jupytor) notebook is best tool, which have many type of library, header file, that make the work more accurate and precise.
Keywords: supervised; unsupervised; reinforced; linear regression; decision tree; python programming; jupytor Notebook; confusion matrix
Cite Article: "Prediction of Heart Disease Using Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.188 - 193, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211030.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2211030
Registration ID:184551
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 188 - 193
Country: N.T.R, Andhra Pradesh, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2211030
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2211030
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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