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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | HEART DISEASE PREDICTION USING HEALTH CARE DATA |
| Authors Name: | Kurapati Martha Veronica , Marella Vennela , Kancharani Hema Durga |
| Unique Id: | IJSDR2304424 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Heart disease is one of the leading causes of death globally. Early detection and prevention of heart disease are critical in reducing mortality rates. In recent years, machine learning algorithms have shown promise in predicting heart disease based on healthcare data. This study aims to predict heart disease using the K-Nearest Neighbour (KNN) algorithm with healthcare data. The data set used in this study contains information on patient demographics, medical history, and laboratory test results. The KNN algorithm was trained and tested using a subset of the data set. The results of the study showed that the KNN algorithm was able to accurately predict heart disease with an accuracy of 85.6%. The study highlights the potential of machine learning algorithms in predicting heart disease, which could lead to better management and prevention of the disease In conclusion, the study shows that the KNN algorithm can accurately predict heart disease using healthcare data. The study underscores the importance of machine learning algorithms in predicting heart disease and could contribute to the development of more accurate and efficient predictive models for the disease. The results of this study could be used in the development of tools to assist healthcare providers in the prevention and management of heart disease. |
| Keywords: | KNN Algorithm, UCI Machine Learning Repository, Integration of electronic health records (EHR) |
| Cite Article: | "HEART DISEASE PREDICTION USING HEALTH CARE DATA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2728 - 2733, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304424.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2304424 Registration ID:205919 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 2728 - 2733 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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