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Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses

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4 Author(s)
Neocleous, C.K. ; Dept. of Mech. Eng., Cyprus Univ. of Technol., Lemesos, Cyprus ; Nicolaides, K.H. ; Neokleous, K.C. ; Schizas, C.N.

A large number of different neural network structures have been constructed, trained and tested to a large data base of pregnant women characteristics, aiming at generating a classifier-predictor for the presence of chromosomal abnormalities in fetuses, namely the Trisomy 21 (Down syndrome), Trisomy 18 (Edwards syndrome), Trisomy 13 (Patau syndrome) and the Turner syndrome.

Published in:

Neural Networks (IJCNN), The 2010 International Joint Conference on

Date of Conference:

18-23 July 2010