A self-learning fuzzy discrete event system for HIV/AIDS treatment regimen selection

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 37, Issue 4, 2007, Pages 966-979

  Ying, Hao ^a   Lin, Feng ^a   MacArthur, Rodger D ^b   Cohn, Jonathan A ^b   Barth Jones, Daniel C ^b   Ye, Hong ^b   Crane, Lawrence R ^b  

^a Wayne State University   (United States)

^b WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Artificial intelligence; Discrete event systems; Fuzzy discrete event systems; Fuzzy logic; HIV AIDS treatment

Indexed keywords

DISCRETE EVENT SIMULATION; FINITE AUTOMATA; FUZZY LOGIC; GENETIC ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; SUPERVISED LEARNING;

ANTIRETROVIRAL THERAPY; FUZZY DISCRETE EVENT SYSTEMS; FUZZY FINITE STATE MACHINE MODELS;

ARTIFICIAL INTELLIGENCE;

ANTIRETROVIRUS AGENT;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DRUG THERAPY; DECISION SUPPORT SYSTEM; FUZZY LOGIC; HUMAN; METHODOLOGY; TREATMENT OUTCOME;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ALGORITHMS; ANTI-RETROVIRAL AGENTS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; TREATMENT OUTCOME;

EID: 34547097512     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2007.895360     Document Type: Article

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