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

European Journal of Pharmaceutical Sciences

Volumn 31, Issue 2, 2007, Pages 137-144

  Shao, Q ^a   Rowe, R C ^a   York, P ^a  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Artificial neural networks; Model trees; Modelling; Multivariate linear equations; Tablet formulation

Indexed keywords

CARBOXYMETHYLCELLULOSE; MAGNESIUM STEARATE; MICROCRYSTALLINE CELLULOSE; SILICA GEL;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; DATA BASE; DRUG RELEASE; DRUG SOLUBILITY; EXPERIMENTAL MODEL; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; TABLET FORMULATION; TABLET PROPERTY; TECHNOLOGY; TENSILE STRENGTH;

ARTIFICIAL INTELLIGENCE; CARBOXYMETHYLCELLULOSE; CELLULOSE; CHEMISTRY, PHARMACEUTICAL; DECISION TREES; DRUG COMPOUNDING; EXCIPIENTS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PHARMACEUTICAL PREPARATIONS; REPRODUCIBILITY OF RESULTS; SILICON DIOXIDE; SOLUBILITY; STEARIC ACIDS; TABLETS; TECHNOLOGY, PHARMACEUTICAL; TENSILE STRENGTH; TIME FACTORS;

EID: 34247525989     PISSN: 09280987     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejps.2007.03.004     Document Type: Article

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