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
Link To Document :
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