Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks

Pharmaceutical Development and Technology

Volumn 20, Issue 6, 2015, Pages 670-675

  Huang, Ying ^a   Yao, Qinghe ^a   Zhu, Chune ^a   Zhang, Xuan ^a   Qin, Lingzhen ^a   Wang, Qinruo ^b   Pan, Xin ^a   Wu, Chuanbin ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Artificial neural networks; Granulated pellet containing tablets; Pellet compaction; Pellet containing tablets; Similarity factor (f2)

Indexed keywords

CITRIC ACID TRIETHYL ESTER; CROSPOVIDONE; DOXYCYCLINE; EUDRAGIT; EXCIPIENT; METHYLCELLULOSE; MICROCRYSTALLINE CELLULOSE; POVIDONE; ANTIINFECTIVE AGENT; METHYLMETHACRYLATE-METHACRYLIC ACID COPOLYMER; POLYMETHACRYLIC ACID DERIVATIVE; TABLET;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPRESSIVE STRENGTH; CONTROLLED STUDY; CORRELATION COEFFICIENT; DRUG COATING; DRUG DESIGN; DRUG DOSAGE FORM COMPARISON; DRUG RELEASE; FORCE; GRANULATED PELLET CONTAINING TABLET; MODEL; PELLET CONTAINING TABLET; PREDICTION; PRIORITY JOURNAL; TABLET FORMULATION; TABLET HARDNESS; CHEMICAL MODEL; CHEMISTRY; DRUG FORMULATION; HARDNESS; PARTICLE SIZE; PROCEDURES; SOLUBILITY; TABLET;

ANTI-BACTERIAL AGENTS; DOXYCYCLINE; DRUG COMPOUNDING; EXCIPIENTS; HARDNESS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PARTICLE SIZE; POLYMETHACRYLIC ACIDS; SOLUBILITY; TABLETS;

EID: 84964203042     PISSN: 10837450     EISSN: 10979867     Source Type: Journal    
DOI: 10.3109/10837450.2014.910809     Document Type: Article

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