Identification and experimental validation of an HIV model for HAART treated patients.
Comput Methods Programs Biomed
; 112(3): 432-40, 2013 Dec.
Article
en En
| MEDLINE
| ID: mdl-24075081
ABSTRACT
The objective of this paper is to identify the parameters of a human immunodeficiency virus (HIV) evolution model from a clinical data set of patients treated with two different highly active antiretroviral therapy (HAART) protocols. After introducing a model with six state variables, a preliminary step considers the reduction of the number of parameters to be identified by means of sensitivity analysis, and then identifiability items are discussed. A nonlinear optimization-based procedure for identification is developed, which divides the unknown parameters into two families the group dependent and the patient dependent parameters. Numerical results show that the identified model can be individually adapted to each patient and this result is promising for predicting the effects (e.g., failures or successes) of therapeutic actions.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Infecciones por VIH
/
Terapia Antirretroviral Altamente Activa
Tipo de estudio:
Diagnostic_studies
/
Guideline
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Comput Methods Programs Biomed
Asunto de la revista:
INFORMATICA MEDICA
Año:
2013
Tipo del documento:
Article