Browsing by Author "Nicolaides, Kypros H."
Now showing items 1-6 of 6
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Conference Object
Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses
Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2010)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 ...
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Article
Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalities
Neocleous, Andreas C.; Nicolaides, Kypros H.; Syngelaki, A.; Neokleous, Kleanthis C.; Loizou, G.; Neocleous, Costas K.; Schizas, Christos N. (2012)A selection of artificial neural network models were built and implemented for systematically study the contribution and the sensitivity of the main influencing parameters as important contributing factors for the non-invasive ...
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Conference Object
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities
Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N.; Neocleous, Andreas C. (2011)A systematic approach has been done, to investigate different neural network structures for the appraisal of the significance of the free b-human chorionic gonadotrophin (b-hCG) and the pregnancy associated plasma protein-A ...
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Article
Ethnicity as a factor for the estimation of the risk for preeclampsia: A neural network approach
Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2010)A large number of feedforward neural structures, both standard multilayer and multi-slab schemes have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia ...
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Article
First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach
Neocleous, Andreas C.; Nicolaides, Kypros H.; Schizas, Christos N. (2016)The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for ...
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Conference Object
Prenatal diagnosis of aneuploidy using artificial neural networks in relation to health economics
Neocleous, Andreas C.; Neocleous, Costas K.; Petkov, N.; Nicolaides, Kypros H.; Schizas, Christos N. (Springer Verlag, 2016)The early detection of fetal chromosomal abnormalities such as aneuploidies, has been an important subject in medicine over the last thirty years. A pregnant woman is advised by the doctor to perform an amniocentesis test, ...