An Adaptive Network-Based Fuzzy Inference System for Estimating the Duration of Medical Services: A Case Study

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Date

2016

Authors

Ihsan Hakan Koksal
Mete Eminagaoglu
Buse Turkoglu

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
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Average
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Average
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Abstract

The 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.

Description

Keywords

ANFIS, duration estimation, medical services, numerical prediction, Duration Estimation, Numerical Prediction, ANFIS, Medical Services

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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OpenCitations Citation Count
1

Source

10th IEEE International Conference on Application of Information and Communication Technologies (AICT)

Volume

Issue

Start Page

801

End Page

806
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