Using Akaike information criterion and minimum mean square error mode in compensating for ultrasonographic errors for estimation of fetal weight by new operators

Objectives: The accuracy of ultrasound (US) measurements is operator dependent. In order to decrease the operator-dependent errors in estimated fetal weight (EFW), a model selection analysis was undertaken to select significant compensation weighting factors on ultrasonographic parameters to support...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yueh-Chin Cheng, Yu Hsien Chiu, Hsien-Chang Wang, Fong-Ming Chang, Kao-Chi Chung, Chiung-Hsin Chang, Kuo-Sheng Cheng
Format: Artigo
Langue:Inglês
Publié: Elsevier 2013-03-01
Collection:Taiwanese Journal of Obstetrics & Gynecology
Sujets:
Akaike information criterion
artificial neural network
estimated fetal weight
minimum mean squared error
ultrasonography
Accès en ligne:http://www.sciencedirect.com/science/article/pii/S1028455913000090
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires