Prediction of aortic diameter values in healthy Turkish infants, children and adolescents via Adaptive Network Based Fuzzy Inference System
Küçük Resim Yok
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER-VERLAG BERLIN
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
4th International Conference on Intelligent Computing -- SEP 15-18, 2008 -- Shanghai, PEOPLES R CHINA
Anahtar Kelimeler
Kaynak
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
5226
