A Takagi-Sugeno type neuro-fuzzy network for determining child anemia
dc.contributor.author | Allahverdi, Novruz | |
dc.contributor.author | Tunali, Ayfer | |
dc.contributor.author | Isik, Hakan | |
dc.contributor.author | Kahramanli, Humar | |
dc.date.accessioned | 2020-03-26T18:13:41Z | |
dc.date.available | 2020-03-26T18:13:41Z | |
dc.date.issued | 2011 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | Decision-making is a difficult and quite responsible task for doctors. Some of the computer decision models assisted the doctor with some computer decision models. In this study, neuro-fuzzy network has been designed to determine anemia level of a child. The performance analyses have been obtained by leaving-one-out cross-validation. After statistical measurements, it was found that MPE = 0.0018, MAE = 0.2090, MAPE = 0.0511, RMSE = 0.2743 and R-2 = 0.9957 of this developed system. According to these results, the designed neuro-fuzzy network may be considered as adequate close to traditional decision-making methods and thus the designed network can be used effectively for child anemia prediction. (c) 2010 Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | Selcuk UniversitySelcuk University | en_US |
dc.description.sponsorship | The authors acknowledge the support of this study provided by Selcuk University Scientific Research Projects. The authors also thank to pediatrician Mehmet Suat Ozkan. | en_US |
dc.identifier.doi | 10.1016/j.eswa.2010.12.083 | en_US |
dc.identifier.endpage | 7418 | en_US |
dc.identifier.issn | 0957-4174 | en_US |
dc.identifier.issn | 1873-6793 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 7415 | en_US |
dc.identifier.uri | https://dx.doi.org/10.1016/j.eswa.2010.12.083 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/26081 | |
dc.identifier.volume | 38 | en_US |
dc.identifier.wos | WOS:000288343900115 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.relation.ispartof | EXPERT SYSTEMS WITH APPLICATIONS | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | TSK-type neuro-fuzzy networks | en_US |
dc.subject | Anemia | en_US |
dc.title | A Takagi-Sugeno type neuro-fuzzy network for determining child anemia | en_US |
dc.type | Article | en_US |