Ihsan Hakan KöksalMete EminaǧaoǧluBuse Türkoǧlu2025-10-062017978150901840610.1109/ICAICT.2016.7991818https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034254008&doi=10.1109%2FICAICT.2016.7991818&partnerID=40&md5=792db9c584ce81eabfdf76287237092chttps://gcris.yasar.edu.tr/handle/123456789/9660The 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. © 2017 Elsevier B.V. All rights reserved.EnglishAnfis, Duration Estimation, Medical Services, Numerical Prediction, Fuzzy Logic, Fuzzy Neural Networks, Fuzzy Systems, Hospitals, Neural Networks, Quality Assurance, Adaptive Artificial Neural Networks, Adaptive Network Based Fuzzy Inference System, Anfis, Freeware Software Tools, Medical Services, Numerical Prediction Models, Numerical Predictions, User Friendly Interface, Fuzzy InferenceFuzzy logic, Fuzzy neural networks, Fuzzy systems, Hospitals, Neural networks, Quality assurance, Adaptive artificial neural networks, Adaptive network based fuzzy inference system, ANFIS, Freeware software tools, Medical services, Numerical prediction models, Numerical predictions, User friendly interface, Fuzzy inferenceConference Object