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IFMBE Proceedings(2)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(1)
2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
Diabetes and Metabolic Syndrome: Clinical Research and Reviews(1)
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Diagnosis of Type 2 Diabetes and Pre-diabetes Using Machine Learning
Conference ObjectAbstract: The type-2 diabetes (T2D) is a multifactorial chronic disease that reduces the quality of lifestylePalabras claves:Area under the glucose curve, Area under the insulin curve, K-Means, Oral glucose tolerance test, Statistical AnalysisAutores:Altuve M., Díaz J., Herrera H., Perpinan G., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusAdaptation of five indirect insulin sensitivity evaluation methods to three populations: Metabolic syndrome, athletic and normal subjects
Conference ObjectAbstract: Insulin sensitivity is determined using direct or indirect methods. Indirect methods are less invasiPalabras claves:Autores:Altuve M., Sara Wong De Balzan, Severeyn E.Fuentes:scopusHOMA-IR Assessment for Impaired Glucose Tolerance, Impaired Fasting Glucose and Insulin Resistance Diagnosis
Conference ObjectAbstract: Impaired glucose tolerance (IGT), impaired fasting glucose (IFG) and insulin resistance (IR) are pbkPalabras claves:Homa-IR, impaired fasting glucose, Impaired glucose tolerance, Insulin Resistance, ROC curvesAutores:Altuve M., Díaz J., Herrera H., Perpinan G., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusOptimized fasting and OGTT-based simple surrogate methods for assessing insulin sensitivity
ArticleAbstract: Aims: Simple surrogate indices of insulin sensitivity have been conceived to deal with costly and coPalabras claves:evolutionary algorithm, Insulin sensitivity, Metabolic syndrome, Oral glucose tolerance test, Statistical AnalysisAutores:Altuve M., Sara Wong De Balzan, Severeyn E.Fuentes:scopusUnsupervised subjects classification using insulin and glucose data for insulin resistance assessment
Conference ObjectAbstract: In this paper, the κ-means clustering algorithm is employed to perform an unsupervised classificatioPalabras claves:Autores:Altuve M., Sara Wong De Balzan, Severeyn E.Fuentes:rraaescopus