An informative probability model enhancing real time echobiometry to improve fetal weight estimation accuracy.

A multinormal probability model is proposed to correct human errors in fetal echobiometry and improve the estimation of fetal weight (EFW). Model parameters were designed to depend on major pregnancy data and were estimated through feed-forward artificial neural networks (ANNs). Data from 4075 women...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 46; no. 2; pp. 109 - 121
Main Authors:	Cevenini G, Severi FM, Bocchi C, Petraglia F, Barbini P, Cevenini, G, Severi, F M, Bocchi, C, Petraglia, F, Barbini, P
Format:	research Journal Article
Published:	Springer Nature Feb2008
Online Access:	View this record in EBSCOhost