Artificial Neural Networks as auxiliary tools in the diagnosis of malnutrition related diseases
Antonio Arista-Jalife, Heriberto Antonio Arista-Viveros · 2012
We present the application of Self-Organizing Maps, combined with multi-layer Artificial Neural Networks, as a reliable auxiliary tool for the diagnosis of twelve common diseases, related with feeding difficulties on children upto twelve years old. The posed tool succeeds to pre diagnose with 96.2% of accuracy the proper diseases, under certain conditions of truncate information input.