Optimal Prediction of Heart Disease Using Machine Learning Techniques with Logistic Regression Model

Ahmad, Ghulab and Fatima, Hira and Shafiullah, Shafiullah (2023) Optimal Prediction of Heart Disease Using Machine Learning Techniques with Logistic Regression Model. In: Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India.

[thumbnail of 53820.pdf] PDF
53820.pdf

Download (662kB)

Abstract

One of the most difficult challenges in the health-care sector is to anticipate coronary artery disease. Heart disease seems to be more common in males than in women. The quantity of smokers smoked each day, as well as systolic and diastolic blood pressure, all increase the risk of heart disease. As

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:13
Last Modified: 17 Apr 2026 03:19
URI: http://eprints.eai.eu/id/eprint/42828

Actions (login required)

View Item
View Item