|Table of Contents|

 The Degradation Process Modeling and Shelf Life Prediction of Drug
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(PDF)

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2019年01期
Page:
55-59
Research Field:
测控技术与通信工程
Publishing date:

Info

Title:
 The Degradation Process Modeling and Shelf Life Prediction of Drug
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Author(s):
 ZHOU Zhen12LI Hanbin1QI Jia12MA Dezhong12
 (1School of Measurementcontrol Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080,China;
2Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province, Harbin 150080, China)
Keywords:
 Keywords:degradation model shelf life bayesian theory drug
PACS:
TB1143
DOI:
10.15938/j.jhust.2019.01.009
Abstract:
 Abstract:The shelf life prediction of drug is the key problem of drug safety management. To solve the problem of individual difference in the same batch cannot be considered during the traditional degradation process modeling, an effective method is proposed to fuse priori degenerate data with site degraded data which can predict shelf life for the monolithic drug and new drugs Determining the distribution of model parameters based on prior information, fusion of field data to update parameters by Bayes On this basis, predict the shelf life of the monolithic drug The results show that the No5 loaded and bottled drugs’ shelf life predicted values are 4395 and 4747 weeks The relative errors are 0043 and 0051 And the feasibility of fusing degradation data to predict the shelf life of the monolithic drug and new drugs is verified

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Last Update: 2019-03-26