Title :
An investigation of differential skin colonization of neonates by staphylococci, using an artificial neural network-based system
Author :
Cundell, Diana R. ; Sztandera, Les M. ; Arbeter, Alan ; Morrone, Jean M.
Author_Institution :
Biol. Dept., Philadelphia Univ., PA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
An intelligent system to examine the influence of the demographic variables of gender, blood type, and race on the distribution of skin staphylococci bacteria on neonates was designed. The system was based on a supervised neural network. Our study suggests that demographic variables are major factors influencing staphylococcal distribution
Keywords :
biology computing; demography; entropy; feedforward neural nets; fuzzy set theory; learning (artificial intelligence); multilayer perceptrons; skin; artificial neural network-based system; blood type; demographic variables; gender; intelligent system; neonates; race; skin staphylococci bacteria; staphylococcal distribution; supervised neural network; Artificial neural networks; Biomedical imaging; Blood; Demography; Humans; Medical diagnostic imaging; Microorganisms; Pediatrics; Skin; X-rays;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005549
