• Article  

      Artificial neural network learning: A comparative review 

      Neocleous, Costas K.; Schizas, Christos N. (2002)
      Various neural learning procedures have been proposed by different researchers in order to adapt suitable controllable parameters of neural network architectures. These can be from simple Hebbian procedures to complicated ...
    • 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 ...
    • 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 ...