A Fuzzy Logic Risk Assessment System for Type 2 Diabetes

Date

2022-10-24

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer

Type

Book chapter

Peer reviewed

Yes

Abstract

This chapter details the design and evolution of a Mamdani fuzzy logic system to allow users to assess their own risk of developing type 2 diabetes. From the research behind the system to its design, conception and testing to refine the system’s accuracy. The system allows users to enter details about their lifestyle and their vital statistics such as height and weight to determine an approximate risk level of developing type 2 diabetes so they can make healthier and more mindful lifestyle choices. Choosing to make better choices will improve their quality of life and save healthcare providers or themselves a vast amount of money in the long run, depending on whether it is a national healthcare service or private provider. This system is not medically tested, and usage of this system without rigorous medical testing and alterations based on that testing is not advised.

Description

Keywords

Artificial Intelligence, Health Care

Citation

Marsh, J.A., Khuman, A.S. (2022). A Fuzzy Logic Risk Assessment System for Type 2 Diabetes. In: Chen, T., Carter, J., Mahmud, M., Khuman, A.S. (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health. Springer, Singapore. pp, 290-320

Rights

Research Institute

Institute of Artificial Intelligence (IAI)