Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children, and Adolescents by Using Artificial Neural Network

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dc.contributor.authorAkdemir, Bayram
dc.contributor.authorOran, Buelent
dc.contributor.authorGunes, Salih
dc.contributor.authorKaraaslan, Sevim
dc.date.accessioned2020-03-26T17:39:44Z
dc.date.available2020-03-26T17:39:44Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aorta is the largest vessel in the systemic circuit. Its diameter is very important to guess for child before adult age, due to growing up body. Aortic diameter, one of the cardiac values, changes in time. Evaluation of the cardiac structures and generating a valid regional curve requires a large study group experience for accurate data on normal values. In this study, our aim is to estimate aortic diameter values without curve of charts. Using real sample of the all groups has been predicted using a hybrid system based on combination of Line Based Normalization Method (LBNM) and Artificial Neural Network (ANN) with Levenberg-Marquardt (LM) algorithm. In this study, aortic diameter values dataset divided into two groups as 50% training-50% testing of whole dataset. In order to show the performance of the proposed method, two fold cross validation and prevalent performance measuring methods, Mean Square Error (MSE), Absolute Deviation (AD), Root Mean Square Error (RMSE), statistical relation factor T and R-2, have been used. The obtained MSE results from combination of Min-Max normalization and ANN, combination of Decimal Scaling and ANN, combination of Z-score and ANN, and combination of LBNM and ANN (the proposed method) are 0.00517, 0.001299, 0.006196, and 0.000145, respectively. For the suggested method, error's results have been given discretely for every age up to adult age. The results are compared to real aortic diameter values by expert with nine year experiences in medical area. These results have shown that the proposed method can be confidently used in the prediction of aortic diameter values in healthy Turkish infants, children and adolescents.en_US
dc.description.sponsorshipScientific Research Project of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Scientific Research Project of Selcuk University and the study was carried out after obtaining a written informed consent from all parents of the subjects. The protocol was approved by the hospital ethics committeeen_US
dc.identifier.doi10.1007/s10916-008-9200-6en_US
dc.identifier.endpage388en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.issue5en_US
dc.identifier.pmid19827264en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage379en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-008-9200-6
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23777
dc.identifier.volume33en_US
dc.identifier.wosWOS:000270582100008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAortic diameteren_US
dc.subjectEchocardiographyen_US
dc.subjectPediatric cardiologyen_US
dc.subjectNormalizationen_US
dc.subjectLine baseden_US
dc.subjectArtificial neural networken_US
dc.titlePrediction of Aortic Diameter Values in Healthy Turkish Infants, Children, and Adolescents by Using Artificial Neural Networken_US
dc.typeArticleen_US

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