An Adaptive Network-Based Fuzzy Inference System for Estimating the Duration of Medical Services: A Case Study
| dc.contributor.author | Ihsan Hakan Koksal | |
| dc.contributor.author | Mete Eminagaoglu | |
| dc.contributor.author | Buse Turkoglu | |
| dc.contributor.author | Eminaǧaoǧlu, Mete | |
| dc.contributor.author | Türkoǧlu, Buse | |
| dc.contributor.author | Köksal, Ihsan Hakan | |
| dc.coverage.spatial | Baku AZERBAIJAN | |
| dc.date.accessioned | 2025-10-06T16:20:47Z | |
| dc.date.issued | 2016 | |
| dc.description.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. | |
| dc.identifier.doi | 10.1109/ICAICT.2016.7991818 | |
| dc.identifier.isbn | 978-1-5090-1841-3 | |
| dc.identifier.isbn | 9781509018406 | |
| dc.identifier.isbn | 9781509018413 | |
| dc.identifier.issn | 2378-8232 | |
| dc.identifier.issn | 2472-8586 | |
| dc.identifier.scopus | 2-s2.0-85034254008 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/6549 | |
| dc.identifier.uri | https://doi.org/10.1109/ICAICT.2016.7991818 | |
| dc.language.iso | English | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 10th IEEE International Conference on Application of Information and Communication Technologies (AICT) | |
| dc.relation.ispartofseries | International Conference on Application of Information and Communication Technologies | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | 2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | |
| dc.subject | ANFIS, duration estimation, medical services, numerical prediction | |
| dc.subject | Duration Estimation | |
| dc.subject | Numerical Prediction | |
| dc.subject | ANFIS | |
| dc.subject | Medical Services | |
| dc.title | An Adaptive Network-Based Fuzzy Inference System for Estimating the Duration of Medical Services: A Case Study | |
| dc.type | Conference Object | |
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| gdc.author.wosid | Eminagaoglu, Mete/ABC-8456-2020 | |
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| gdc.description.departmenttemp | [Koksal, Ihsan Hakan] Yasar Univ, Dept Comp Engn, Izmir, Turkey; [Eminagaoglu, Mete] Dokuz Eylul Univ, Dept Comp Sci, Izmir, Turkey; [Turkoglu, Buse] Yasar Univ, Dept Business Engn, Izmir, Turkey | |
| gdc.description.endpage | 806 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 801 | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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| gdc.virtual.author | Eminağaoğlu, Mete | |
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