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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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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
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| Paper Title: | Predicting Heart Disease Outcomes Using Machine Learning Models |
| Authors Name: | Ayush Pramanik |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201025
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| Published Paper Id: | IJRTI2503031 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | This research explores the application of machine learning techniques for predicting heart disease outcomes using the University of California, Irvine’s Heart Disease dataset, comprising 303 patients and 13 clinical features. I evaluated three supervised learning models: Logistic Regression, Decision Trees, and Random Forests, implementing k-fold cross-validation and hyperparameter optimization. The Random Forest classifier demonstrated superior performance, achieving 87.3% accuracy, 89.1% precision, and 86.5% recall. Feature importance analysis revealed that maximum heart rate, ST depression induced by exercise, and number of major vessels colored by fluoroscopy were the most significant predictors. These findings suggest that machine learning models can serve as effective tools for preliminary heart disease risk assessment in clinical settings. |
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| Cite Article: | "Predicting Heart Disease Outcomes Using Machine Learning Models", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a260-a261, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503031.pdf |
| Downloads: | 000459 |
| 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: IJRTI2503031
Registration ID:201025
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: a260-a261 Country: Hanoi, Hanoi, Vietnam Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503031 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503031 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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