Evaluation of chemometric techniques and artificial neural networks for cancer screening using Cu, Fe, Se and Zn concentrations in blood serum

Article

Abstract: It is known that variations in the concentrations of certain trace elements in bodily fluids may be

Palabras claves:

Artificial Neural Networks (ANNs), Backpropagation neural network (BpNN), Cáncer, Copper, Iron, logistic regression, Principal components analysis (PCA), Probabilistic neural network (PrNN), selenium, Serum, Zinc

Autores:

Francklin Rivas, Hernández-Caraballo E.A., Marcó-Parra L., Pérez A.G.

Fuentes:

scopus