Prediction of dissolution profiles of acetaminophen beads using artificial neural networks

Pharmaceutical Development and Technology

Volumn 11, Issue 3, 2006, Pages 337-349

  Peng, Yingxu ^a,b   Geraldrajan, Maria ^a   Chen, Quanmin ^a   Sun, Yichun ^a   Johnson, James R ^a   Shukla, Atul J ^a  

^a UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

^b ASTRAZENECA   (United Kingdom)

Author keywords

Artificial neural network; Dissolution; Extrusion spheronization; Full factorial design; Genetic algorithm; Prediction

Indexed keywords

PARACETAMOL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; DISSOLUTION; DRUG BEAD; DRUG FORMULATION; DRUG MANUFACTURE; DRUG RELEASE; DRUG SOLUBILITY; FACTORIAL DESIGN; GENETIC ALGORITHM; PELLET EXTRUSION; PHARMACEUTICAL ENGINEERING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SPHERONIZATION; STATISTICAL MODEL;

ACETAMINOPHEN; CHEMISTRY, PHARMACEUTICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SOFTWARE; SOLUBILITY; TIME FACTORS;

EID: 33747145200     PISSN: 10837450     EISSN: 10979867     Source Type: Journal    
DOI: 10.1080/10837450600769744     Document Type: Article

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