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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
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 : 19455
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| Paper Title: | HEART DISEASE IDENTIFICATION AND NOTIFICATION SYSTEM USING MACHINE LEARNING |
| Authors Name: | S.Lavanya |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187199
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| Published Paper Id: | IJRTI2306093 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | The most serious health problem is heart disease (HD), which has affected many people all over the world. Shortness of breath, muscular weakness, and swollen feet are prominent signs of HD. Due to a number of factors, including accuracy and execution time, present heart disease diagnosis techniques are not very effective in early time identification. Researchers are working to develop an effective method for the detection of heart disease. In this study, we suggested a machine learning-based system that can quickly and accurately diagnose cardiac problems. The categorization techniques used in the system's development include support vector machines, decision trees, and random forests. Then, in order to increase accuracy, we combined all of the algorithms mentioned earlier to create a hybrid algorithm. The classifiers' performances are evaluated using the performance measurement metrics. On the features chosen via features selection algorithms, the classifiers' performances have been evaluated. The flask framework website provides the final forecast. The suggested system can also recommend food to patients who test positive |
| Keywords: | support vector machines, decision trees, random forests, hybrid algorithm, performance measurement metrics, feature selection, flask framework, food recommendations |
| Cite Article: | "HEART DISEASE IDENTIFICATION AND NOTIFICATION SYSTEM USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.586 - 592, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306093.pdf |
| Downloads: | 000205117 |
| 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: IJRTI2306093
Registration ID:187199
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 586 - 592 Country: Chennai – 600 097., Taminadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306093 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306093 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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