• DocumentCode
    1647289
  • 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
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    648
  • Lastpage
    653
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1005549
  • Filename
    1005549