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Group or a component group for the effect of metabolites to the material basis of PK / PD study will help to grasp the overall metabolism of the compound traditional Chinese medicine and the characteristics and effects of the mechanism, but also brought a problem. Metabolite composition of groups and group composition of the in vivo absorption, distribution, transformation, the process of excretion are the characteristics of their own, how to integrate these complex data pharmacokinetics of drugs and associated with the effect of indicators of the formation to become researchers on the new challenges before.

   In recent years in PK / PD studies the application of artificial neural network to solve the above problems as possible. This calculation presumes that the system does not require a specific model, but only from their data available to establish the relationship between input and output, greatly simplifying the traditional pharmacokinetic analysis of data required for modeling work, and whether it is foreshadowed in the rate indicates the ability or have markedly improved. Minor and other studies have shown that artificial neural networks can be administered with the PD, with the administration of PK, PD and PK, or other relevant factors and treatment associated with direct access to the relationships between them. Artificial neural network because of its excellent ability to non-linear fitting of compound Chinese medicine and is expected to become PK / PD study of an effective data analysis tools.

   Metabolomics Research Chemometrics regular use of the theory and multivariate statistical analysis methods, the mass of collected information for the original multi-dimensional compression and classification analysis of dimensionality reduction, which will eventually lower the principal component of an independent integrated multi-dimensional manifestation of the original variables must contain the Most of the overall information (the habit of> 85%). This research strategy to maximize the retention of information in the premise of data greatly simplifies the analysis of the difficulty and workload, it is medicine PK / PD combination of researchers from
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zap65535(½ð±Ò+0,VIP+0):»úÆ÷·­Òë 12-22 02:03
Study  on group or a component group for the effect of metabolites to the material basis of PK / PD  will help to grasp the overall metabolism of the compound traditional Chinese medicine and the characteristics and effects of the mechanism, but also brought a problem.Metabolite composition of groups and group composition of the in vivo absorption, distribution, transformation, the process of excretion are the characteristics of their own, how to integrate these complex data pharmacokinetics of drugs and associated with the effect of indicators of the formation to become researchers on the new challenges before.

In recent years in PK / PD studies the application of artificial neural network to solve the above problems as possible.This calculation presumes that the system does not require a specific model, but only from their data available to establish the relationship between input and output, greatly simplifying the traditional pharmacokinetic analysis of data required for modeling work, and whether it is foreshadowed in the rate indicates the ability or have markedly improved. Minor and other studies have shown that artificial neural networks can be administered with the PD, with the administration of PK, PD and PK, or other relevant factors and treatment associated with direct access to the relationships between them. Artificial neural network because of its excellent ability to non-linear fitting of compound Chinese medicine and is expected to become PK / PD study of an effective data analysis tools.

Metabolomics Research Chemometrics regular use of the theory and multivariate statistical analysis methods, the mass of collected information for the original multi-dimensional compression and classification analysis of dimensionality reduction, which will eventually lower the principal component of an independent integrated multi-dimensional manifestation of the original variables must contain the Most of the overall information (the habit of> 85%).This research strategy to maximize the retention of information in the premise of data greatly simplifies the analysis of the difficulty and workload, it is medicine PK / PD combination of researchers from.
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