Ihsan Hakan KoksalMete EminagaogluBuse TurkogluEminaǧaoǧlu, MeteTürkoǧlu, BuseKöksal, Ihsan Hakan2025-10-062016978-1-5090-1841-3978150901840697815090184132378-82322472-858610.1109/ICAICT.2016.79918182-s2.0-85034254008https://gcris.yasar.edu.tr/handle/123456789/6549https://doi.org/10.1109/ICAICT.2016.7991818The aim of this study is twofold. First one is to derive a feasible numerical prediction model for the duration of medical services in a medical institution that could be used by the hospital management within their quality assurance and improvement processes. The second aim is to develop a freeware software tool which implements an adaptive artificial neural network-based fuzzy inference system with a user-friendly interface that can be effectively used by both technical and non-technical people. Some promising results have been obtained which show that both of these objectives have been successfully achieved to some extent.Englishinfo:eu-repo/semantics/closedAccessANFIS, duration estimation, medical services, numerical predictionDuration EstimationNumerical PredictionANFISMedical ServicesAn Adaptive Network-Based Fuzzy Inference System for Estimating the Duration of Medical Services: A Case StudyConference Object