Allahverdi, NovruzTunali, AyferIsik, HakanKahramanli, Humar2020-03-262020-03-2620110957-41741873-6793https://dx.doi.org/10.1016/j.eswa.2010.12.083https://hdl.handle.net/20.500.12395/26081Decision-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.en10.1016/j.eswa.2010.12.083info:eu-repo/semantics/closedAccessTSK-type neuro-fuzzy networksAnemiaArticle38674157418Q1WOS:000288343900115Q1