Paper Info
Title
Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children and Adolescents Via Adaptive Network Based Fuzzy Inference System
Abstract
The aorta diameter size one of the cardiac value is very important to guess for child before adult age, due to growing up body. In conventional method, the experts use curve charts to decide whether their measured aortic diameter size is normal or not. Our proposed method presents a valid virtual aortic diameter result related to age, weight and sex. The proposed method comprises of two stages: (i) data normalization using a normalization method called Line Base Normalization Method (LBNM) that is firstly proposed by us, (ii) normalized aortic diameter prediction using Adaptive Network Based Fuzzy Inference Systems (ANFIS). Data set includes real Turkish infants, children and adolescents values and divided into two groups as 50% training -50% testing split of whole dataset to show performance of ANFIS. LBNM compared to three normalization methods including Min-Max normalization, Z-score, and decimal scaling methods. The results were compared to real aortic diameters values by expert with nine year experiences in medical area.
Year
DOI
Venue
2008
10.1007/978-3-540-87442-3_62
ICIC (1)
Keywords
Field
DocType
adolescents via adaptive network,real aortic diameters value,normalized aortic diameter prediction,conventional method,normalization method,healthy turkish infants,aortic diameter values,decimal scaling method,aorta diameter size,measured aortic diameter size,min-max normalization,fuzzy inference system,valid virtual aortic diameter
Turkish,Aorta diameter,Normalization (statistics),Pattern recognition,Artificial intelligence,Adaptive neuro fuzzy inference system,Decimal,Mathematics,Aortic diameter,Database normalization,Fuzzy inference system
Conference
Volume
ISSN
Citations 
5226
0302-9743
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Bayram Akdemir1376.32
Salih Güneş2126778.53
Bülent Oran341.17