A support vector machine based pharmacodynamic prediction model for searching active fraction and ingredients of herbal medicine: Naodesheng prescription as an example

Journal of Pharmaceutical and Biomedical Analysis

Volumn 56, Issue 2, 2011, Pages 443-447

  Chen, Chao ^a   Li, Shu xian ^a,b   Wang, Shu mei ^a   Liang, Sheng wang ^a  

^a GUANGDONG PHARMACEUTICAL UNIVERSITY   (China)

^b GUANGDONG MEDICAL UNIVERSITY   (China)

Author keywords

Active fraction; Active ingredients; Herbal medicine; Support vector machine

Indexed keywords

ACETYLSALICYLIC ACID; NAODESHENG; PLANT EXTRACT; UNCLASSIFIED DRUG;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BIOASSAY; CHINESE MEDICINE; COMPARATIVE STUDY; CONTROLLED STUDY; FRACTIONATION; HERBAL MEDICINE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MALE; MEDICINAL PLANT; NONHUMAN; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; RAT; SUPPORT VECTOR MACHINE; THROMBOCYTE AGGREGATION; TRADITIONAL MEDICINE;

ANIMALS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL ASSAY; CHEMICAL FRACTIONATION; CHEMISTRY, PHARMACEUTICAL; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; DRUGS, CHINESE HERBAL; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MALE; MODELS, STATISTICAL; PLATELET AGGREGATION; PLATELET AGGREGATION INHIBITORS; PRINCIPAL COMPONENT ANALYSIS; RATS; RATS, SPRAGUE-DAWLEY; REPRODUCIBILITY OF RESULTS; STRUCTURE-ACTIVITY RELATIONSHIP; TECHNOLOGY, PHARMACEUTICAL;

EID: 79960038557     PISSN: 07317085     EISSN: 1873264X     Source Type: Journal    
DOI: 10.1016/j.jpba.2011.05.010     Document Type: Article

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