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