Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data, ultrasonographic findings and patient demographics.
BMC Med Genomics 2018 Feb 13;11(1):19. Epub 2018 Feb 13.
Department of Genetics and Bioengineering, International Burch University, Francuske revolucije bb, Ilidza, 71210, Sarajevo, Bosnia and Herzegovina.
Background: The usage of Artificial Neural Networks (ANNs) for genome-enabled classifications and establishing genome-phenotype correlations have been investigated more extensively over the past few years. The reason for this is that ANNs are good approximates of complex functions, so classification can be performed without the need for explicitly defined input-output model. This engineering tool can be applied for optimization of existing methods for disease/syndrome classification. Read More