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Heart-disease (HD) is one of the most common diseases nowadays, and for people who provide health care, it is very necessary to work with them to take care of their patients' health and save their life. In this paper, different classifiers were analyzed by performance comparison to classify the Heart Disease dataset to classify it correctly and or to Predict Heart Disease cases with minimal attributes.
Large amounts of data that contain some secret information were collected by the healthcare industries. This data collection is useful for making effective decisions. Some advanced data mining techniques are used to make proper results and making effective decisions on data. In this case, a Heart Disease Prediction System (HDPS) is developed using Logistic Regression, K Nearest Neighbor, Decision Tree, Random Forest Classifier, and Support Vector Machine algorithms to predict the heart disease risk level. The results reveal that the Random Forest Classifier and Support Vector Machine obtained the highest accuracy of 90.32%, whereas 87.09%, 70.96%, and 83.87% accuracy scores are obtained by logistic regression, KNN classifier, and decision
tree respectively.
Keywords:
Heart Disease Prediction, Machine Learning, Web-Based System, Random Forest, Support Vector Machine, Logistic Regression, K-Nearest Neighbor, Decision Tree, Doctor Appointment System, Healthcare Technology, Medical Data Analysis.
Cite Article:
"AI-Driven Heart Disease Prediction using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c625-c630, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504297.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