A fuzzy discrete event system approach to determining optimal HIV/AIDS treatment regimens

IEEE Transactions on Information Technology in Biomedicine

Volumn 10, Issue 4, 2006, Pages 663-676

  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

Decision making; Discrete event systems; Fuzzy logic; Human immunodeficiency virus acquired immunodeficiency syndrome (HIV AIDS) treatment

Indexed keywords

DECISION MAKING; FUZZY SETS; GENETIC ALGORITHMS; OPTIMIZATION;

ACQUIRED IMMUNODEFICIENCY SYNDROME TREATMENT; DISCRETE EVENT SYSTEMS; HUMAN IMMUNODEFICIENCY VIRUS TREATMENT;

BIOMEDICAL ENGINEERING;

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT;

ARTICLE; CLINICAL TRIAL; COMPUTER ASSISTED DRUG THERAPY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; METHODOLOGY; QUALITY CONTROL; SIGNAL PROCESSING; TREATMENT OUTCOME;

ANTI-HIV AGENTS; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; EXPERT SYSTEMS; FUZZY LOGIC; HIV INFECTIONS; HUMANS; QUALITY CONTROL; SIGNAL PROCESSING, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 33750200787     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2006.874200     Document Type: Article

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