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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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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Analysis of cardiovascular disease using traditional machine learning |
| Authors Name: | Gyalgen Lepcha , Teesta Chanda , Tanbir Alam , Vivek Thapa |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204764
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| Published Paper Id: | IJRTI2506112 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i6.204764 |
| Abstract: | The heart is a critical organ in the human body, and any deficiency in its functioning can lead to life-threatening consequences. Cardiovascular diseases are the leading cause of fatality worldwide. Early detection and diagnosis can prevent the risk of life and reduce treatment costs. This paper aims to analyze an accurate and useful heart disease prediction model based on traditional machine learning models by leveraging datasets from Kaggle and UCI Repository and identifying key factors such as hypertension, cholesterol level, smoking history, physical inactivity, etc. This research applies supervised learning algorithms such as Decision Tree, Random Forest, Logistic Regression, and Support Vector Machine (SVM). These algorithms are evaluated based on their performance. The research demonstrates the potential of Machine Learning as a decision support system in healthcare, offering timely diagnosis and reducing economic costs. |
| Keywords: | Cardiovascular Disease (CVD), Machine Learning(ML), Supervised learning, Decision Tree, Random Forest, Logistic Regression, Support Vector Machine (SVM) |
| Cite Article: | "Analysis of cardiovascular disease using traditional machine learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b86-b91, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506112.pdf |
| Downloads: | 000572 |
| 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: IJRTI2506112
Registration ID:204764
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.204764
Page No: b86-b91 Country: East Sikkim, SIKKIM, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506112 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506112 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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