Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{149428,
        author = {Mr.P.Anand and Abinaya.B and Akshaya Priya.R.K and Chandraleka.P and Harni.R},
        title = {PREDICTION OF CARDIOVASCULAR DISEASE USING MACHINE LEARNING ALGORITHM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {12},
        pages = {315-319},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149428},
        abstract = {The proposed work suggests the design of a health care system that provides various services to monitor the patients using wireless technology. It is   an intelligent Remote Patient monitoring system which is integrating patient monitoring with various sensitive parameters.The system is said to be  an  intelligent system because of its diagnosis capability, timely alert for medication  etc. The current statistics shows that heart disease is the leading cause of death and which shows the importance of the technology to provide a solution for reducing the cardiac arrest rate. Apart from that the proposed work compares different algorithms and proposes the usage of Random Forest algorithm for heart disease prediction.},
        keywords = {Heart Disease, Dataset, Random Forest Tree algorithm},
        month = {},
        }