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2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016(1)
IFMBE Proceedings(1)
Classification of metabolic syndrome subjects and marathon runners with the k-means algorithm using heart rate variability features
Conference ObjectAbstract: In this paper, we have applied the k-means clustering algorithm to classify three study groups (peopPalabras claves:Autores:Altuve M., Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:rraaescopusDiagnosis 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: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