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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
Utilizing Machine Learning Techniques For Heart Risk Prediction
Authors
Om Deshmukh, Fardeen Kachawa, Sujal Bhatt, Kaif Siddique, Neelam Phadnis
Keywords
Machine Learning, Classification Algorithm, Data Mining, feature Selection
Abstract
Heart disease is a prominent cause of death among people. These diseases are preventable if treated in time. We propose a system that can allow users to assess their heart health and ensure they realise when to visit the doctor. We utilise Machine Learning algorithms prominently to determine the risk of heart diseases to a particular user. We use Classification algorithms for the prediction as they offer the best result as well as fit the use case. Data mining is crucial in feature selection to build better models. We use the UCI Cleveland dataset of heart disease to train our models.
IJCRT's Publication Details
Unique Identification Number - IJCRT2311628
Paper ID - 247101
Page Number(s) - f322-f329
Pubished in - Volume 11 | Issue 11 | November 2023
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.36966
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Om Deshmukh, Fardeen Kachawa, Sujal Bhatt, Kaif Siddique, Neelam Phadnis, "Utilizing Machine Learning Techniques For Heart Risk Prediction", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.f322-f329, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311628.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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