Coping with unbalanced class data sets in oral absorption models

Journal of Chemical Information and Modeling

Volumn 53, Issue 2, 2013, Pages 461-474

  Newby, Danielle ^a   Freitas, Alex A ^b   Ghafourian, Taravat ^a,c  

^a MEDWAY SCHOOL OF PHARMACY   (United Kingdom)

^b UNIVERSITY OF KENT   (United Kingdom)

^c TABRIZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DRUG PRODUCTS; TREES (MATHEMATICS);

CLASS PREDICTION; CLASSIFICATION AND REGRESSION TREE; CLASSIFICATION DECISION; CLASSIFICATION MODELS; CLASSIFICATION TREES; HUMAN INTESTINAL ABSORPTIONS; MISCLASSIFICATION COSTS; OVERALL ACCURACIES;

CLASSIFICATION (OF INFORMATION);

ABSORPTION; ARTICLE; BIOLOGICAL MODEL; DECISION TREE; DRUG DATABASE; DRUG DEVELOPMENT; HUMAN; METHODOLOGY; ORAL DRUG ADMINISTRATION; REGRESSION ANALYSIS;

ABSORPTION; ADMINISTRATION, ORAL; DATABASES, PHARMACEUTICAL; DECISION TREES; DRUG DISCOVERY; HUMANS; MODELS, BIOLOGICAL; REGRESSION ANALYSIS;

EID: 84874403630     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci300348u     Document Type: Article

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