Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data

Robert HE(2005)The metabolic syndrome Lancet 365 1415-1428

Scott MG(2004)Japanese people warned to curb unhealthy lifestyles: health experts urge a return to dietary basics to prevent future health problems Lancet 363 1126-94

Paul ZZ(2003)Importance of LDL/HDL cholesterol ratio as a predictor for coronary heart disease events in patients with heterozygous familial hypercholesterolaemia: a 15-year follow-up (1987–2002) Curr Med Res Opin 19 89-e65

McCurry J(2011)The ratio of adiponectin to homeostasis model assessment of insulin resistance is a powerful index of each component of metabolic syndrome in an aged Japanese population: results from the KING study Diabetes Res Clin Pract 92 e61-569

Panagiotakos DB(2010)Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up Seibutsu Kogaku Kaishi 88 562-1056

Pitsavos C(2011)Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin Comput BiolMed 41 1051-408

Skoumas J(2000)Fuzzy control of bioprocess J Biosci Bioeng 89 401-942

Chrysohoou C(2001)Fuzzy neural network model for assessment of Alzheimer-type dementia J Chem Eng Jpn 34 936-1212

Toutouza M(2002)Fuzzy neural network applied to gene expression profiling for prognosis of diffuse large B-cell lymphoma Jpn J Cancer Res 93 1207-913

Stefanadis CI(2003)Multiple fuzzy neural network system for outcome prediction and classification of 220 lymphoma patients on the basis of molecular profiling Cancer Sci 94 906-100

Robert HE(2005)The metabolic syndrome Lancet 365 1415-1428

Scott MG(2004)Japanese people warned to curb unhealthy lifestyles: health experts urge a return to dietary basics to prevent future health problems Lancet 363 1126-94

Paul ZZ(2003)Importance of LDL/HDL cholesterol ratio as a predictor for coronary heart disease events in patients with heterozygous familial hypercholesterolaemia: a 15-year follow-up (1987–2002) Curr Med Res Opin 19 89-e65

McCurry J(2011)The ratio of adiponectin to homeostasis model assessment of insulin resistance is a powerful index of each component of metabolic syndrome in an aged Japanese population: results from the KING study Diabetes Res Clin Pract 92 e61-569

Panagiotakos DB(2010)Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up Seibutsu Kogaku Kaishi 88 562-1056

Pitsavos C(2011)Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin Comput BiolMed 41 1051-408

Skoumas J(2000)Fuzzy control of bioprocess J Biosci Bioeng 89 401-942

Chrysohoou C(2001)Fuzzy neural network model for assessment of Alzheimer-type dementia J Chem Eng Jpn 34 936-1212

Toutouza M(2002)Fuzzy neural network applied to gene expression profiling for prognosis of diffuse large B-cell lymphoma Jpn J Cancer Res 93 1207-913

Stefanadis CI(2003)Multiple fuzzy neural network system for outcome prediction and classification of 220 lymphoma patients on the basis of molecular profiling Cancer Sci 94 906-100