| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 10 | |
| Section | Health Development | |
| DOI | https://doi.org/10.1051/e3sconf/202449103013 | |
| Published online | 21 February 2024 | |
Machine learning based heart disease prediction system
Assistant Professor,Department of Electronics, PSG College of Arts and Science, Coimbatore – 641014. Tamil Nadu, India
1 Corresponding author: Skrb0716@gmail.com, sivanandan@psgcas.ac.in
Anticipating heart illness has been one of the foremost challenging errands in medication in later a long time. Nowadays approximately one individual passes on from a heart assault each miniature. Information science plays an imperative part in handling expansive sums of information in healthcare. Since the desire of heart disease may be a troublesome errand. It is essential to total the determining prepare to maintain a strategic distance from the chance related with it and to caution patients in development. This venture employments a heart malady database with 303 persistent records and 13 parameters. This article works the hazard of heart assault utilizing distinctive learning calculations such as Calculated Relapse, Irregular Timberland, K Neighbors, and finds he leading calculation from the proper ones and returns the yield in like manner. In this way, this amplify provides a comparison by analyzing the performance of a custom learning machine.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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