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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16043
Article Published : 7066
Total Authors : 19003
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| Paper Title: | Diagnosis and Management of Arrhythmia using Machine Learning |
| Authors Name: | Pratyaksha S , Dr. Chayadevi M L |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_183001
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| Published Paper Id: | IJRTI2207056 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Cardiac arrhythmia refers to a variety of heart rhythm disorders in which the heartbeat is irregular, rapid, or sluggish. Arrhythmias come in a variety of forms, some of which have no symptoms. When symptoms are present, palpitations or a sense of a pause between heartbeats may be noticeable. In more extreme instances, lightheadedness, fainting, shortness of breath, or chest discomfort may develop. While most arrhythmias are harmless, some can cause serious complications such as stroke or heart failure. Others might lead to cardiac arrest. Arrhythmia affects millions of individuals throughout the world. Nearly half of all deaths due by cardiovascular disease, or roughly 15% of all deaths globally, are caused by sudden cardiac death. Ventricular arrhythmias account for approximately 80% of sudden cardiac death. Arrhythmias can affect people of any age, although they are more frequent as they get older. |
| Keywords: | Medical Imaging; Machine learning, Arrhythmia Diagnosis, KNN, SVM, Random Forest, Decesion Tree |
| Cite Article: | "Diagnosis and Management of Arrhythmia using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.387 - 397, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207056.pdf |
| Downloads: | 000204870 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2207056
Registration ID:183001
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 387 - 397 Country: Bangalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207056 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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