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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:rraaescopusEstimation of invasive physiological parameters from non invasive parameters using dimensionless numbers and Monte Carlo cross-validation
Conference ObjectAbstract: According to NCEP-ATPIII criterion, metabolic syndrome (MS) diagnosis is based in the measurement ofPalabras claves:Empirical Correlation, Metabolic syndrome, Monte Carlo cross-validationAutores:Altuve M., Herrera H., Perpinan G., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusMachine Learning Methods in the Classification of the Athletes Dehydration
Conference ObjectAbstract: Regular physical activity brings improvement in health and quality of life. It is associated with rePalabras claves:dehydration, Heart Rate Variability, K-Means, Physical activity, Support Vector MachineAutores:Alvarez A.J., Mónica Karel Huerta, Perpinan G., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:googlescopus