INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)
Heart disease is still a major global health concern, but its effects can be significantly diminished through early detection and prevention. Using a combination of established risk variables and cutting-edge machine learning methods, a machine learning ensemble model is used to predict accuracy. This ensemble model combines neural networks, support vector machines, and decision trees to accurately represent intricate nonlinear interactions between the variables. Validation of a sizable and varied patient dataset, including both those with and without cardiac disease, is used to run the model. The effectiveness of the model's ability to identify people who are at high risk is analyzed utilizing its performance criteria, which include F1-score, recall, accuracy, and precision. Comparisons with existing risk prediction models are made to show improvements in accuracy and dependability. This system uses the Random Forest algorithm and boasts a remarkable accuracy rate of 95.2%, which is a significant advance in both healthcare and data science. This reduces the need for in-person medical visits, enhances patient convenience, and enables healthcare professionals to monitor a larger number of patients effectively.
Keywords:
Iot, Machine Learning, KNN, Random forest, Decision tree, Model Prediction
Cite Article:
"ENHANCING HEART DISEASE PREDICTION SYSTEM USING IOT AND ML", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.d552-d564, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310374.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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