Mostrando 10 resultados de: 10
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Conference Object(10)
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Advances in Intelligent Systems and Computing(2)
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)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019(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 Impaired Waist to Height Ratio and Waist to Hip Ratio Using Support Vector Machine
Conference ObjectAbstract: The obesity epidemic has reached a high prevalence in adults, adolescents, and children. OverweightPalabras claves:Monte Carlo cross-validation, obesity, SUPPORT VECTOR MACHINES, Waist circumference, Waist to height ratio, Waist to hip ratioAutores:A. La Cruz, Mónica Karel Huerta, 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:rraaescopusAssessment of Anthropometric Measurements for Obesity and Abnormal Body Fat Percentage Diagnosis Using k-means as Clustering Technique
Conference ObjectAbstract: The increased prevalence of overweight and obesity has become a major factor in public spending in cPalabras claves:Anthropometrics measurements, k-means clustering, Skinfold thinknessAutores:A. La Cruz, Herrera H., Sara Wong De Balzan, Severeyn E., Velasquez J.Fuentes:scopusAn aide diagnosis system based on k-means for insulin resistance assessment in eldery people from the Ecuadorian highlands
Conference ObjectAbstract: The lack of standardized cut-off values for the surrogate methods to diagnose Insulin resistance (IRPalabras claves:Elderly, Homa-IR, Insulin Resistance, K-Means, Quicki, unsupervided learningAutores:Cristian Vintimilla, Fabian Astudillo-Salinas, Lorena Esperanza Torres Encalada, Sara Wong De Balzan, Severeyn E.Fuentes:scopusDiagnosis 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:googlescopusPhysical Activity Classification Using an Artificial Neural Networks Based on the Analysis of Anthropometric Measurements
Conference ObjectAbstract: Physical activity is one of the most important factors in leading a healthy life, which has increasePalabras claves:Artificial Neural Network, classification, Physical activityAutores:A. La Cruz, Alvarez A.J., Herrera H., 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:rraaescopusSupport vector machine technique as classifier of impaired body fat percentage
Conference ObjectAbstract: Excess weight and obesity are indicators of an unhealthy or harmful accumulation of fat that can bePalabras claves:anthropometric measurements, Fat body percentage, Monte Carlo cross validation, Support Vector MachineAutores:A. La Cruz, Mónica Karel Huerta, Sara Wong De Balzan, Severeyn E.Fuentes:scopus