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Applied Research And Technology Development Of Population Pharmacokinetics Analysis Software

Posted on:2009-08-26Degree:MasterType:Thesis
Country:ChinaCandidate:B C JiangFull Text:PDF
GTID:2144360245980920Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Population pharmacokinetics studied dynamic characteristics of drugs in a particular group, adopted a comprehensive statistical analysis of drug treatment to a variety of interactions with the body. It can be a powerful analytical capability revealed the deeper level of mutual relations between the body and drugs after drugs entering the body. There is growing attention to it, and it has shown broad prospects in the basis of drug research and clinical applications.This paper introduces the basis knowledge of pharmacokinetics and population pharmacokinetics, the relevant parameters for calculating method, and focused on the pharmacokinetics and population pharmacokinetics basic research methods, especially the nonlinear mixed effect method (NONMEM) which the most widely used method. This paper studies the core algorithm of NONMEM that based extended least squares. It points out the insufficiency of the several algorithms by comparing several different methods, and a new algorithm that based on improved nonlinear simplex method was proposed and was verified.This paper carries on the following works:(1) It shows the significance of the research of the population pharmacokinetics, shows the related concepts and knowledge in detail, and analyses the research and development status about population pharmacokinetics at home and abroad at present.(2) Research-emphasis is the algorithm of NONMEM. The core fitting algorithm of NONMEM was studied and improved through the use of improved nonlinear simplex method, and reduces the amount of computation through conversion issues for the sake of the optimal solution.(3) Improve the existing algorithms through add a new judgment direction, and improve the extension part of the nonlinear simplex method, and ensure that there is no degradation about the final simplex.
Keywords/Search Tags:population pharmacokinetics, nonlinear, improved simplex method, arithmetic, data fitting
PDF Full Text Request
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