Data mining of solubility parameters for computational prediction of drug-excipient miscibility

Drug Development and Industrial Pharmacy

Volumn 40, Issue 7, 2014, Pages 904-909

  Alhalaweh, Amjad ^a   Alzghoul, Ahmad ^a   Kaialy, Waseem ^b,c  

^a LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

^b MEDWAY SCHOOL OF PHARMACY   (United Kingdom)

^c Laboratory of Pharmaceutical Technology   (Syrian Arab Republic)

Author keywords

Data mining; Hansen solubility parameters; K means algorithm; Miscibility

Indexed keywords

EXCIPIENT; INDOMETACIN; DRUG;

ALGORITHM; ARTICLE; CHEMICAL PHENOMENA; CLUSTER ANALYSIS; COST EFFECTIVENESS ANALYSIS; DATA MINING; DIFFERENTIAL SCANNING CALORIMETRY; DISPERSION; DRUG SOLUBILITY; DRUG STRUCTURE; HANSEN SOLUBILITY PARAMETER; HYDROGEN BOND; K MEAN CLUSTERING ALGORITHM; MISCIBILITY; POLAR FORCE; PREDICTION; CHEMICAL MODEL; CHEMISTRY; DRUG FORMULATION; MEDICINAL CHEMISTRY; PROCEDURES; SOLUBILITY;

ALGORITHMS; CHEMISTRY, PHARMACEUTICAL; CLUSTER ANALYSIS; DATA MINING; DRUG COMPOUNDING; EXCIPIENTS; MODELS, CHEMICAL; PHARMACEUTICAL PREPARATIONS; SOLUBILITY;

EID: 84902239752     PISSN: 03639045     EISSN: 15205762     Source Type: Journal    
DOI: 10.3109/03639045.2013.789906     Document Type: Article

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