• DocumentCode
    2555807
  • Title

    AIDS viral DNA amplification by polymerase chain reaction employing primers selected by AI expert system and an ART neural network

  • Author

    Benachenhou, D. ; Cader, M. ; Szu, H. ; Medsker, L. ; Wittwer, Christof ; Garling, D.

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Syst., American Univ., Washington, DC, USA
  • fYear
    1990
  • fDate
    3-6 Jun 1990
  • Firstpage
    504
  • Lastpage
    511
  • Abstract
    To diagnose AIDS patients, doctors are starting to use the methodology of amplification induced by thermal annealing and by adding specific primers to imitate the polymerase chain reaction of the denatured DNA mutated by several types of human immunodeficiency viruses. An adaptive resonance theory (ART) neural network working in concert with an artificial intelligence (AI) rule-based system is shown to be efficient for enhancing the choice of the needed good primers. Because of the tradeoff between the simplicity of primers and the specifics of primers, doctors prefer to diagnose different viral types by administering patients with different sets of good primers. Thus, AI provides ART with both the background for self-organization and the foreground for the final goal
  • Keywords
    expert systems; medical diagnostic computing; neural nets; patient care; AI expert system; AIDS patients; AIDS viral DNA amplification; ART neural network; adaptive resonance theory; human immunodeficiency viruses; polymerase chain reaction; primers; rule-based system; thermal annealing; Acquired immune deficiency syndrome; Annealing; Artificial intelligence; DNA; Humans; Immune system; Polymers; Resonance; Subspace constraints; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1990., Proceedings of Third Annual IEEE Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-8186-9040-2
  • Type

    conf

  • DOI
    10.1109/CBMSYS.1990.109440
  • Filename
    109440