Abstract

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
EditorsTianhua Chen, Jenny Carter, Mufti Mahmud, Arjab Singh Khuman
PublisherSpringer Singapore
Publication statusAccepted/In press - Mar 2022

Publication series

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

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