DocumentCode
3085807
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
fYear
2012
fDate
26-28 Sept. 2012
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEEE.2012.6421161
Filename
6421161
Link To Document