Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/196011
Type: Artigo de periódico
Title: Fuzzy Modeling In Symptomatic Hiv Virus Infected Population.
Author: Jafelice, Rosana Motta
de Barros, Laécio Carvalho
Bassanezi, Rodney Carlos
Gomide, Fernando
Abstract: This paper introduces a model for the evolution of positive HIV population and manifestation of AIDS (acquired immunideficiency syndrome). The focus is on the nature of the transference rate of HIV to AIDS. Expert knowledge indicates that the transference rate is uncertain and depends strongly on the viral load and the CD4+ level of the infected individuals. Here, we suggest to view the transference rate as a fuzzy set of the viral load and CD4+ level values. In this case the dynamic model results in a fuzzy model that preserves the biological meaning and nature of the transference rate lambda. Its behavior fits the natural history of HIV infection reported in the medical science domain. The paper also includes a comparison between the fuzzy model and a classic Anderson's model using data reported in the literature.
Subject: Acquired Immunodeficiency Syndrome
Cd4 Lymphocyte Count
Fuzzy Logic
Hiv
Hiv Infections
Humans
Mathematical Computing
Models, Statistical
Viral Load
Rights: fechado
Identifier DOI: 10.1016/j.bulm.2004.03.002
Address: http://www.ncbi.nlm.nih.gov/pubmed/15522347
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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