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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: | Big Data Analytics in Heart Attack Prediction |
| Authors Name: | Anmary Sunny , Anagha Saju , Sigma Sathyan |
| Unique Id: | IJSDR2303243 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Abstract: In today's world, heart attack is very common. Therefore, it is a big challenge to diagnose the patients timely and correctly. The treatment of heart disease is quite expensive and not affordable for most of the patients. The main goal is to develop a system to predict heart attacks using Big Data techniques. This system is able to discover and extract hidden knowledge about heart diseases from a historical database of heart diseases. It can answer complex queries about heart disease diagnosis, helping doctors make intelligent clinical decisions, which traditional decision support systems cannot. By providing effective treatments, it also helps reduce treatment costs. Big Data analytics, known in the corporate world for its valuable use in controlling, contrasting and managing large amounts of data, can be applied with great success to the prediction, prevention, management and treatment of cardiovascular disease. Therefore, a medical diagnostic system such as the Heart Attack Prediction System would likely be extremely useful. |
| Keywords: | Index Terms: Mobile computing, Healthcare, Communication, Pregnancy. (Key words) |
| Cite Article: | "Big Data Analytics in Heart Attack Prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1420 - 1423, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303243.pdf |
| Downloads: | 000337355 |
| Publication Details: | Published Paper ID: IJSDR2303243 Registration ID:204971 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 1420 - 1423 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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