Title :
Artificial Neural Networks as auxiliary tools in the diagnosis of malnutrition related diseases
Author :
Arista-Jalife, Antonio ; Arista-Viveros, H.A.
Author_Institution :
Intell. Syst. Group, La Salle Univ., Mexico
Abstract :
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.
Keywords :
diseases; medical computing; patient diagnosis; self-organising feature maps; auxiliary tools; feeding difficulties; malnutrition related disease diagnosis; multilayer artificial neural networks; self-organizing maps; truncate information input; Artificial neural networks; Diseases; Lungs; Neurons; Pathology; Pediatrics; Reliability;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4673-2170-9
DOI :
10.1109/ICEEE.2012.6421161
