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Fuzzy Evaluation of Pharmacokinetic Models
Joint Authors
Sepúlveda, Roberto
Cornejo-Bravo, José M.
Sepúlveda, Carlos
Montiel-Ross, Oscar
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Population pharmacokinetic (PopPK) models allow researchers to predict and analyze drug behavior in a population of individuals and to quantify the different sources of variability among these individuals.
In the development of PopPK models, the most frequently used method is the nonlinear mixed effect model (NLME).
However, once the PopPK model has been developed, it is necessary to determine if the selected model is the best one of the developed models during the population pharmacokinetic study, and this sometimes becomes a multiple criteria decision making (MCDM) problem, and frequently, researchers use statistical evaluation criteria to choose the final PopPK model.
The used evaluation criteria mentioned above entail big problems since the selection of the best model becomes susceptible to the human error mainly by misinterpretation of the results.
To solve the previous problems, we introduce the development of a software robot that can automate the task of selecting the best PopPK model considering the knowledge of human expertise.
The software robot is a fuzzy expert system that provides a method to systematically perform evaluations on a set of candidate PopPK models of commonly used statistical criteria.
The presented results strengthen our hypothesis that the software robot can be successfully used to evaluate PopPK models ensuring the selection of the best PopPK model.
American Psychological Association (APA)
Sepúlveda, Carlos& Montiel-Ross, Oscar& Cornejo-Bravo, José M.& Sepúlveda, Roberto. 2018. Fuzzy Evaluation of Pharmacokinetic Models. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130623
Modern Language Association (MLA)
Sepúlveda, Carlos…[et al.]. Fuzzy Evaluation of Pharmacokinetic Models. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130623
American Medical Association (AMA)
Sepúlveda, Carlos& Montiel-Ross, Oscar& Cornejo-Bravo, José M.& Sepúlveda, Roberto. Fuzzy Evaluation of Pharmacokinetic Models. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130623