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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 6 | Month- June 2026
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Paper Title
STUDY ON HEART DISEASE PREDICATION USING ARTIFICIAL INTELLIGENCE
Authors
Abhilasha Rajput, Ajay Singh, Prof. (Dr.)Pushpneel Verma
Keywords
Prediction, User Interaction, Artificial Intelligence, Artificial Neural Networks, Prognosis, Machine Learning
Abstract
Several disorders may cause cardiovascular disease, or heart disease. Heart disease has several risk factors and requires quick diagnosis for proper treatment. A symptom Data mining is a common way to analyse healthcare data. Researchers employ data mining and machine learning to analyse complex medical data for healthcare practitioners. Cardiologists predict heart disease. This study's model uses heart disease-related parameters. Supervised learning uses Naive Bayes, decision tree, K-nearest neighbour, and random forest. It uses UCI's Cleveland database of heart disease patients. The 303 instances of data include characteristics. Only 14 of the 76 traits are verified, but they're crucial to confirming the claim. Algorithm performance. This research estimates heart disease risk in a population. Patients. K- nearest neighbor has the highest accuracy, as shown in result and discussion.
IJCRT's Publication Details
Unique Identification Number - IJCRT2306913
Paper ID - 240525
Page Number(s) - h674-h677
Pubished in - Volume 11 | Issue 6 | June 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Abhilasha Rajput, Ajay Singh, Prof. (Dr.)Pushpneel Verma, "STUDY ON HEART DISEASE PREDICATION USING ARTIFICIAL INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 6, pp.h674-h677, June 2023, Available at :http://www.ijcrt.org/papers/IJCRT2306913.pdf
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Volume 14 | Issue 6
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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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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