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From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming
Joint Authors
Polak, Sebastian
Jachowicz, Renata
Mendyk, Aleksander
Güres, Sinan
Szlęk, Jakub
Wiśniowska, Barbara
Kleinebudde, Peter
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The purpose of this work was to develop a mathematical model of the drug dissolution (Q) from the solid lipid extrudates based on the empirical approach.
Artificial neural networks (ANNs) and genetic programming (GP) tools were used.
Sensitivity analysis of ANNs provided reduction of the original input vector.
GP allowed creation of the mathematical equation in two major approaches: (1) direct modeling of Q versus extrudate diameter (d) and the time variable (t) and (2) indirect modeling through Weibull equation.
ANNs provided also information about minimum achievable generalization error and the way to enhance the original dataset used for adjustment of the equations’ parameters.
Two inputs were found important for the drug dissolution: d and t.
The extrudates length (L) was found not important.
Both GP modeling approaches allowed creation of relatively simple equations with their predictive performance comparable to the ANNs (root mean squared error (RMSE) from 2.19 to 2.33).
The direct mode of GP modeling of Q versus d and t resulted in the most robust model.
The idea of how to combine ANNs and GP in order to escape ANNs’ black-box drawback without losing their superior predictive performance was demonstrated.
Open Source software was used to deliver the state-of-the-art models and modeling strategies.
American Psychological Association (APA)
Mendyk, Aleksander& Güres, Sinan& Jachowicz, Renata& Szlęk, Jakub& Polak, Sebastian& Wiśniowska, Barbara…[et al.]. 2015. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
Modern Language Association (MLA)
Mendyk, Aleksander…[et al.]. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
American Medical Association (AMA)
Mendyk, Aleksander& Güres, Sinan& Jachowicz, Renata& Szlęk, Jakub& Polak, Sebastian& Wiśniowska, Barbara…[et al.]. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058022