Risk Detection of Heart Disease

Date

2022-10-24

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer

Type

Book chapter

Peer reviewed

Yes

Abstract

Cardio Vascular Disease (CVD) is the leading cause of death worldwide and a significant contributor to the rising cost of health care. Due to the growing patient population, existing healthcare systems are becoming increasingly burdened and unable to effectively manage the increased demand for health care services. The purpose of this paper is to demonstrate the design of a fuzzy logic-based system for a patient’s detection of heart disease risk at home. The system is implemented in the MATLAB software, using the fuzzy logic toolbox. This paper provides the technical description of the system and evaluates its performance. The dataset from the Framingham Heart Study was used for the system’s implementation.

Description

Keywords

Artificial Intelligence, Health Care

Citation

Macakaite, K., Khuman, A.S. (2022). Risk Detection of Heart Disease. In: Chen, T., Carter, J., Mahmud, M., Khuman, A.S. (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health. Springer, Singapore. pp. 261-274

Rights

Research Institute

Institute of Artificial Intelligence (IAI)