Diabetes is a complex disorder that can lead to numerous severe complications. Early diagnosis and treatment significantly contributes to a better quality of life for patients and can protect against associated complications. This chapter proposes the application of an Adaptive Neuro-fuzzy Inference System (ANFIS), with system parameters optimised by Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO). A comparative experimental study is conducted with application upon the UCI Early-Stage Diabetes Risk Prediction dataset, demonstrating effectiveness of the neuro-fuzzy system in diagnosing diabetes.
Original languageEnglish
Title of host publicationArtificial Intelligence in Healthcare
Subtitle of host publicationRecent Applications and Developments
EditorsTianhua Chen, Jenny Carter, Mufti Mahmud, Arjab Singh Khuman
PublisherSpringer Singapore
Number of pages22
ISBN (Electronic)9789811952722
ISBN (Print)9789811952715
Publication statusPublished - 26 Oct 2022

Publication series

NameBrain Informatics and Health
ISSN (Print)2367-1742
ISSN (Electronic)2367-1750


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