PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Machine Learning
Random Forest
CAD
Framingham Dataset.
Abstract
In recent times, there has been a lot of implementation with respect to machine learning and its application methods in the Medical field and is often referred to be a valuable rich information. Coronary Artery Disease (CAD) is one of the major causes of death all around the world and early detection can prevent it. The aim of this project is to predict Coronary artery disease using historical medical data. The dataset is then trained using random forest algorithm and visualized important predictive analytics using confusion matrix. We also focus on a designing a webpage which receives attributes as input and give them an accurate result upto 93%.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ajaygouda Yallappagoudar | Dayananda Sagar College of Engineering |
| 2 | Shashank Gangadhar | Dayananda Sagar College of Engineering |
| 3 | Arun C M | Dayananda Sagar College of Engineering |
| 4 | Vishal Agarwal | Dayananda Sagar College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Yallappagoudar, Ajaygouda, Gangadhar, Shashank, M, Arun C, & Agarwal, Vishal (2021). PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1750-1763.
MLA Style
Yallappagoudar, Ajaygouda, et al. "PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1750-1763.
IEEE Style
Ajaygouda Yallappagoudar, Shashank Gangadhar, Arun C M, and Vishal Agarwal, "PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1750-1763, 2021.
Vancouver Style
Yallappagoudar Ajaygouda, Gangadhar Shashank, M Arun C, Agarwal Vishal. PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1750-1763.
Harvard Style
Yallappagoudar, Ajaygouda, Gangadhar, Shashank, M, Arun C, & Agarwal, Vishal (2021) 'PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1750-1763.
Chicago Style
Yallappagoudar, Ajaygouda, et al. "PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1750-1763.
Turabian Style
Yallappagoudar, Ajaygouda, et al. "PREDICTION OF CORONARY ARTERY DISEASE USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1750-1763.
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