AI Driven Heart Disease Prediction Model
- DOI
- 10.2991/978-94-6463-866-0_57How to use a DOI?
- Keywords
- AI; Heart Disease; Prediction; Machine Learning; Health Data
- Abstract
In today’s era of advanced technology, changes in our daily habits have significantly contributed to a rise in health-related issues, particularly heart diseases. With millions of deaths reported annually due to cardiovascular complications, it has become crucial to focus on early diagnosis and public awareness. This project titled “AI-Driven Heart Disease Prediction Model” aims to utilize machine learning techniques to evaluate the risk of heart disease using historical health data. The platform is designed to offer users a convenient, remote-access method to assess their heart health, thereby reducing pressure on medical professionals. By integrating five distinct machine learning models, the project delivers a quick and efficient risk analysis tool.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - K. Akila AU - Krupasai Shetty AU - Mani Raj AU - Devansh Singh PY - 2025 DA - 2025/10/31 TI - AI Driven Heart Disease Prediction Model BT - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025) PB - Atlantis Press SP - 693 EP - 703 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-866-0_57 DO - 10.2991/978-94-6463-866-0_57 ID - Akila2025 ER -