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Evaluating the impact of soy compounds on breast cancer using the data mining approach
Sheng I. Chen
, Hsiao Ting Tseng, Chia Chien Hsieh
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工業工程與管理學系
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引文 斯高帕斯(Scopus)
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Keyphrases
Data Mining Techniques
100%
Breast Cancer
100%
Breast Cancer Progression
100%
Soy Phytoestrogens
100%
Soy Protein
75%
Protein-peptide Complexes
50%
Cancer Types
50%
Estrogen Receptor
50%
Positive Impact
25%
Mathematical Model
25%
Breast Cancer Risk
25%
Decision Tree Classification
25%
Classification Rules
25%
Negative Impact
25%
Association Rules
25%
Daidzein
25%
Health Promotion
25%
Genistein
25%
Rule-based Method
25%
Data Mining Model
25%
Negative Type
25%
Progesterone Receptor
25%
Cancer Prevention
25%
Soy Peptide
25%
Lunasin
25%
Bowman-Birk Inhibitor
25%
Compound Type
25%
Equol
25%
Soy Intake
25%
Coumestrol
25%
Phytoestrogens
25%
Nutrient Intervention
25%
Progesterone Receptor Negative
25%
Triple Negative
25%
Agricultural and Biological Sciences
Soybean
100%
Phytoestrogen
50%
Estrogen Receptor
20%
Progesterone Receptor
20%
Mathematical Model
10%
Protease
10%
Lunasin
10%
Soy Protein
10%
Daidzein
10%
Genistein
10%
Equol
10%
Coumestrol
10%
Food Science
Soybean
100%
Soy Protein
10%
Earth and Planetary Sciences
Protease
100%