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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 : 114
Article Submitted : 18499
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Total Authors : 20714
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| Paper Title: | Heart Disease Prediction Using Machine Learning Algorithms |
| Authors Name: | Aritra Ghosh , Roumyadeep Chakraborty |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203986
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| Published Paper Id: | IJRTI2506126 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i6.203986 |
| Abstract: | Cardiovascular diseases, i.e heart diseases, remain one of the major causes of death throughout the world it tolling for nearly one-third of all fatalities. Timely detection and risk assessment play a critical role in preventing life-threatening cardiac events. However, traditional diagnostic approaches are often time-consuming, expensive, and inaccessible in many regions due to limited healthcare infrastructure. With the rapid advancement of machine learning, predictive analytics is emerging as a powerful tool for identifying individuals at heart disease risk based on their clinical results. This paper is based on a heart disease prediction system that leverages a machine learning model which is trained on the Cleveland Heart Disease dataset. The system takes thirteen medical parameters—including age, blood pressure, cholesterol levels, and ECG results—as input. It then classifies the heart disease risk using a trained Random Forest classifier, which is carefully chosen after comparative evaluation with other supervised learning algorithms. The final model serves as a preliminary risk assessment tool aimed at raising awareness and encouraging users to seek medical evaluation if necessary. While it does not replace clinical diagnostics, the application shows the potential of integrating machine learning to support preventive healthcare. |
| Keywords: | Heart Disease Prediction, Deep Learning, Medical Machine Learning, Disease Prediction, Human-Computer Interaction, AI Ethics |
| Cite Article: | "Heart Disease Prediction Using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b185-b189, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506126.pdf |
| Downloads: | 000329 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2506126
Registration ID:203986
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.203986
Page No: b185-b189 Country: Hooghly, West Bengal, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506126 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506126 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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