İhsan Hakan Köksal, Mete Eminağaoğlu, Buse Türkoğlu
{"title":"基于自适应网络的医疗服务持续时间模糊推理系统:一个案例研究","authors":"İhsan Hakan Köksal, Mete Eminağaoğlu, Buse Türkoğlu","doi":"10.1109/ICAICT.2016.7991818","DOIUrl":null,"url":null,"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.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An adaptive network-based fuzzy inference system for estimating the duration of medical services: A case study\",\"authors\":\"İhsan Hakan Köksal, Mete Eminağaoğlu, Buse Türkoğlu\",\"doi\":\"10.1109/ICAICT.2016.7991818\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":446472,\"journal\":{\"name\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2016.7991818\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive network-based fuzzy inference system for estimating the duration of medical services: A case study
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.