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    Investigation of an artificial intelligence technology- model trees Novel applications for an immediate release tablet formulation database

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    Publication date
    2009-07-20T07:58:47Z
    Author
    Shao, Qun
    Rowe, Raymond C.
    York, Peter
    Keyword
    Model trees
    Artificial neural networks
    Modelling
    Multivariate linear equations
    Tablet formulation
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    This study has investigated an artificial intelligence technology ¿ model trees ¿ as a modelling tool applied to an immediate release tablet formulation database. The modelling performance was compared with artificial neural networks that have been well established and widely applied in the pharmaceutical product formulation fields. The predictability of generated models was validated on unseen data and judged by correlation coefficient R2. Output from the model tree analyses produced multivariate linear equations which predicted tablet tensile strength, disintegration time, and drug dissolution profiles of similar quality to neural network models. However, additional and valuable knowledge hidden in the formulation database was extracted from these equations. It is concluded that, as a transparent technology, model trees are useful tools to formulators
    URI
    http://hdl.handle.net/10454/3051
    Version
    No full-text available in the repository
    Citation
    Shao, Q., Rowe, R. C., York, P. (2007).Investigation of an artificial intelligence technology- model trees Novel applications for an immediate release tablet formulation database. European Journal of Pharmaceutical Sciences. Vol. 31, No. 2, pp. 137-144
    Link to publisher’s version
    https://doi.org/10.1016/j.ejps.2007.03.004
    Type
    Article
    Collections
    Life Sciences Publications

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