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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 : 115
Article Submitted : 19456
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | ACTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING HYBRID LEARNING STRATEGIES |
| Authors Name: | Rachana T , Gowthami H R , M Rama krishna , Apoorva R |
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IJRTI_181045
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| Published Paper Id: | IJRTI1911009 |
| Published In: | Volume 4 Issue 11, November-2019 |
| DOI: | |
| Abstract: | Heart disease is one of the most important causes of death in the world today, Prediction for cardiovascular disease is a key problem in the world of clinical data analysis Machine learning(ML) has been shown to be effective in helping to make decisions and predictions based on the large amount of data produced by the healthcare industry. We also saw the use of ML techniques Heart disease is one of the most important causes of death in the world today, Prediction for cardiovascular disease is a key problem in the world of clinical data analysis machine learning(ML) has been shown to be effective in helping to make decisions and predictions based on the large amount of data produced by the healthcare industry, We also saw the use of ML techniques used in recent developments in different areas of the Internet of Things (IoT), Various studies provide only insight into detecting heart disease using ML techniques. |
| Keywords: | Decision tree, KNN, Machine learning. |
| Cite Article: | "ACTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING HYBRID LEARNING STRATEGIES", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 11, page no.41 - 45, November-2019, Available :http://www.ijrti.org/papers/IJRTI1911009.pdf |
| Downloads: | 000205090 |
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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: IJRTI1911009
Registration ID:181045
Published In: Volume 4 Issue 11, November-2019
DOI (Digital Object Identifier):
Page No: 41 - 45 Country: Moodbidri, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1911009 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1911009 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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