• 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 ...
    • 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 ...
    • Conference Object  

      First trimester diagnosis of trisomy-21 using artificial neural networks 

      Neocleous, Andreas C.; Nikolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2010)
      Langdon Down in 1866 reported on a syndrome in which individuals have skin appearing to be too large for the body, a nose small and a flat face. This is a chromosomal disorder caused by the presence of all or part of an ...
    • Conference Object  

      Neural networks to estimate the risk for preeclampsia occurrence 

      Neocleous, Costas K.; Anastasopoulos, Panagiotis; Nikolaides, Kypros H.; Schizas, Christos N.; Neokleous, Kleanthis C. (2009)
      A number of neural network schemes have been applied to a large data base of pregnant women, aiming at generating a predictor for the estimation of the risk of occurrence of preeclampsia at an early stage. The database was ...
    • Conference Object  

      Neural networks to investigate the effects of smoking and alcohol abuse on the risk for preeclampsia 

      Neocleous, Costas K.; Nikolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2009)
      Following the application of a large number of neural network schemes that have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia occurrence at an early ...