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Genes and Nutrition
Volumn 3, Issue 3-4, 2008, Pages 173-176
Prediction of the metabolic syndrome status based on dietary and genetic parameters, using Random Forest
Author keywords

Metabolic syndrome; Multivariate data analysis; Nutrigenomics; Random Forest
Indexed keywords

EID: 78650070712     PISSN: 15558932     EISSN: 18653499     Source Type: Journal    
DOI: 10.1007/s12263-008-0097-y     Document Type: Article
Times cited : (59)
References (6)
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    • DOI 10.1016/S0278-6915(99)00078-2, PII S0278691599000782
    • Hercberg S, Preziosi P, Galan P, Faure H, Arnaud J, Duport N, Malvy D, Roussel AM, Briançon S, Favier A (1999) "THE SU.VI.MAX STUDY": a primary prevention trial using nutritional doses of antioxidant vitamins and minerals in cardiovascular diseases and cancers. Food Chem Toxicol 37(9-10):925-930 (Pubitemid 29481793)
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    • Hercberg, S.1    Preziosi, P.2    Galan, P.3    Faure, H.4    Arnaud, J.5    Duport, N.6    Malvy, D.7    Roussel, A.-M.8    Briancon, S.9    Favier, A.10
  • 5
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    • The metabolic syndrome: Prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994
    • DOI 10.1001/archinte.163.4.427
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    • Park, Y.-W.1    Zhu, S.2    Palaniappan, L.3    Heshka, S.4    Carnethon, M.R.5    Heymsfield, S.B.6
  • 6
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    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Strobl C, Boulesteix AL, Zeileis A, Hothorn T (2007) Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinformatics 8:25
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.