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2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016(1)
2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019(1)
Advances in Intelligent Systems and Computing(1)
IFMBE Proceedings(1)
Classification of Impaired Waist to Height Ratio Using Machine Learning Technique
Conference ObjectAbstract: Metabolic dysfunctions are a set of metabolic risk factors that include abdominal obesity, dyslipidePalabras claves:Anthropometrics measurements, K-means clustering algorithm, Waist to height ratio (WHtR)Autores:A. La Cruz, Perpinan G., Sara Wong De Balzan, Severeyn E.Fuentes:scopusClassification 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: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