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Open Access
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Sushiladevi Vantamuri
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- Project Guide S. G. Balekundri Institute of Technology Belagavi India
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Abstract
nHeart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the aftermath of the pandemic. This study employs statistical analysis and utilizes the data from vaccinated individuals to investigate potential correlations between COVID-19 vaccination and incidence of heart attacks , thereby contributing to our understanding of the deep health impacts of vaccination efforts. Through a machine learning forthcoming, we aim to analyse post-pandemic cardiac prediction by inspecting heart attack mortality rates among vaccinated adults.
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Keywords: Clinical Data,Heart Disease, Vaccination, Algorithm, Dataset, Artificial Intelligence.,Machine learning.
n[if 424 equals=”Regular Issue”][This article belongs to Research & Reviews: A Journal of Health Professions(rrjohp)]
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Research & Reviews: A Journal of Health Professions
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| Volume | 14 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | May 1, 2024 | |
| Accepted | June 5, 2024 | |
| Published | June 12, 2024 |
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