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...

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Những tác giả chính: Yueh-Chin Cheng, Yu Hsien Chiu, Hsien-Chang Wang, Fong-Ming Chang, Kao-Chi Chung, Chiung-Hsin Chang, Kuo-Sheng Cheng
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Elsevier 2013-03-01
Loạt:Taiwanese Journal of Obstetrics & Gynecology
Những chủ đề:
Akaike information criterion
artificial neural network
estimated fetal weight
minimum mean squared error
ultrasonography
Truy cập trực tuyến:http://www.sciencedirect.com/science/article/pii/S1028455913000090

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http://www.sciencedirect.com/science/article/pii/S1028455913000090

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