Open Access Open Access  Restricted Access Subscription Access

HEART DISEASES PREDICTION

Sasidaran D, Vinithkumar S, Siva S, Seenivasan. P, Dr. V. Kamalaveni

Abstract


The Heart Disease Prediction System is designed to assist in the early identification of individuals at risk of heart-related ailments by analyzing various health parameters. The project utilizes key medical attributes such as age, gender, blood pressure, cholesterol level, blood sugar, resting ECG results, and other vital indicators to predict the likelihood of heart disease. By applying advanced machine learning algorithms, the system can learn patterns and correlations within the dataset to generate accurate predictions. A user-friendly web interface is developed to allow users or healthcare professionals to input patient data and instantly receive prediction results in a clear and visual format. This project aims to enhance medical decision-making, reduce the time required for diagnosis, and promote early prevention measures. Ultimately, the system contributes to improving the quality of healthcare services by providing a reliable, efficient, and easily accessible tool for heart disease prediction and risk assessment.


Full Text:

PDF PDF

References


UCI Machine Learning Repository – Heart Disease Dataset. https://archive.ics.uci.edu/ml/datasets/heart+Disease

Kaur, R., & Kaur, A. (2019). Heart Disease Prediction Using Machine Learning Techniques. International Journal of Engineering and Advanced Technology (IJEAT), 8(6), 234–238.

Patil, S., & Sherekar, S. (2016). Heart Disease Prediction Using Data Mining Techniques. International Journal of Computer Science and Information Technologies, 7(3), 1171–1175.

Kumar, S., & Garg, R. (2020). A Study on Predicting Heart Disease Using Machine Learning Algorithms. Journal of Biomedical Science and Engineering, 13, 1–10.

Rasool, S., et al. (2021). Machine Learning Approaches for Heart Disease Prediction. Procedia Computer Science, 184, 339–346.

Scikit-learn Documentation: https://scikit-learn.org/stable/documentation.html

Weka – Data Mining Software: https://www.cs.waikato.ac.nz/ml/weka/

If you want, I can also make a shorter reference list suitable for a school or college report.


Refbacks

  • There are currently no refbacks.