Prediction of Drug Dissolution Profiles Using Artificial Neural Networks

Quek, Siow San, Lim, Chee Peng and Peh, Kok Khiang 2001, Prediction of Drug Dissolution Profiles Using Artificial Neural Networks, International journal of computational intelligence and applications, vol. 1, no. 2, pp. 187-202.

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Title Prediction of Drug Dissolution Profiles Using Artificial Neural Networks
Author(s) Quek, Siow San
Lim, Chee Peng
Peh, Kok Khiang
Journal name International journal of computational intelligence and applications
Volume number 1
Issue number 2
Start page 187
End page 202
Total pages 17
Publisher Imperial College Press
Place of publication London, England
Publication date 2001
ISSN 1469-0268
1757-5885
Keyword(s) Neural networks
Multilayer perceptions
Pharmaceutical for mulation
Similarity factor
Bootstrap
Summary This paper investigates the efficacy and reliability of Artificial Neural Networks (ANNs) as an intelligent decision support tool for pharmaceutical product formulation. Two case studies have been employed to evaluate capabilities of the Multilayer Perceptron network in predicting drug dissolution/release profiles. Performances of the network were evaluated using similarity factor (&fnof[sub 2]) — an index recommended by the United States Food and Drug Administration for profile comparison in pharmaceutical research. In addition, the bootstrap method was applied to assess the network prediction reliability by estimating confidence intervals associated with the results. The Multilayer Perceptron network also demonstrated a superior performance in comparison with multiple regression models. The results reveal that the ANN system has potentials to be a decision support tool for profile prediction in pharmaceutical experimentation, and the bootstrap method could be used as a means to assess reliability of the network prediction. [ABSTRACT FROM AUTHOR].
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2002, EBSCO
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048643

Document type: Journal Article
Collection: Institute for Frontier Materials
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