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

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

The U.S. Department of Health and Human Services Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) treatment guidelines are modified several times per year to reflect the rapid evolution of the field (e.g., emergence of new antiretroviral drugs). As such, a treatment-deci...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1997. - 37(2007), 4 vom: 21. Aug., Seite 966-79
1. Verfasser: Ying, Hao (VerfasserIn)
Weitere Verfasser: Lin, Feng, MacArthur, Rodger D, Cohn, Jonathan A, Barth-Jones, Daniel C, Ye, Hong, Crane, Lawrence R
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
Schlagworte:Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Anti-Retroviral Agents