DocumentCode
3172364
Title
Parameter estimation and identifiability of a HIV-1 model
Author
Portelo, A. ; Lemos, Joao M. ; Vinga, S. ; Ribeiro, R.M. ; Cruz, J.P. ; Valadas, E.
Author_Institution
INESC-ID, Lisbon, Portugal
fYear
2013
fDate
25-28 June 2013
Firstpage
691
Lastpage
696
Abstract
In this work, some identifiability and sensitivity properties of a reduced complexity model for the Human Immunodeficiency Virus 1 (HIV-1) infection are considered. In addition to study the effect of parameters on the model states, the impact of the data sampling frequency on a cost used for parameter estimation is also addressed. The conclusions are used as guidelines to identify models from clinical data in two case studies in which the patients did not follow the prescribed therapy.
Keywords
computational complexity; diseases; microorganisms; parameter estimation; HIV-1 infection; HIV-1 model identifiability; Human Immunodeficiency Virus 1; clinical data; data sampling frequency; parameter estimation; patient therapy; reduced complexity model; sensitivity properties; Blood; Data models; Drugs; Immune system; Load modeling; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location
Chania
Print_ISBN
978-1-4799-0995-7
Type
conf
DOI
10.1109/MED.2013.6608798
Filename
6608798
Link To Document