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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: | Cardiovascular Disease Prediction |
| Authors Name: | Vartika Trivedi , Ghanshyam Chaurasia , Abhishek Kumar Saxena |
| Unique Id: | IJSDR2210009 |
| Published In: | Volume 7 Issue 10, October-2022 |
| Abstract: | Our main objective is to develop a Cardiovascular Disease (CVD) Risk Prediction model Using Supervised Learning Classifiers that can be used in making expert decision with maximum accuracy of having a heart disease or not. It will prove very important for medical fields for diagnosing diseases related to heart such as heart attack, heart failure, strokes and other corony artery diseases. If such predictions make good results with enough accuracy, we can’t only avoid inaccurate diagnosis but also save unnecessary resources used. When a patient who is not having a heart disease is diagnosed positive, he takes unnecessary panic and when patients who have actually a heart disease and is not diagnosed with heart disease or gets negative result, he will unwillingly miss their chance to cure his disease. Such wrong diagnosis is disadvantageous to both patients and hospitals. With better accurate predictions, we can overcome the unnecessary trouble. |
| Keywords: | - |
| Cite Article: | "Cardiovascular Disease Prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 10, page no.49 - 51, October-2022, Available :http://www.ijsdr.org/papers/IJSDR2210009.pdf |
| Downloads: | 000337214 |
| Publication Details: | Published Paper ID: IJSDR2210009 Registration ID:201926 Published In: Volume 7 Issue 10, October-2022 DOI (Digital Object Identifier): Page No: 49 - 51 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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