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

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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Yueh-Chin Cheng, Yu Hsien Chiu, Hsien-Chang Wang, Fong-Ming Chang, Kao-Chi Chung, Chiung-Hsin Chang, Kuo-Sheng Cheng
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	Elsevier 2013-03-01
Saila:	Taiwanese Journal of Obstetrics & Gynecology
Gaiak:	Akaike information criterion artificial neural network estimated fetal weight minimum mean squared error ultrasonography
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1028455913000090

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