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DC Field | Value | Language |
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dc.contributor.author | Velásquez, Jesús | - |
dc.contributor.author | Severeyn, Erika | - |
dc.contributor.author | Herrera, Hector Antonio | - |
dc.contributor.author | Utrera, Nestor | - |
dc.contributor.author | Encalada Torres, Lorena Esperanza | - |
dc.contributor.author | Wong de balzan , Sara Null | - |
dc.date.accessioned | 2019-07-26T14:18:40Z | - |
dc.date.available | 2019-07-26T14:18:40Z | - |
dc.date.issued | 2018 | - |
dc.identifier.isbn | 978-153866657-9 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060711823&origin=inward | - |
dc.description | Diabetes mellitus and cardiovascular diseases are ailments related to insulin resistance (IR) and obesity. The existing methods for IR and obesity diagnosis are the HOMA-IR and body mass index (BMI), respectively. Those methods have limitations in the diagnosis. The aim of this research is to propose dimensionless indexes that can diagnose subjects with IR and obesity using anthropometrics and biochemical variables (waist circumference, height, weight, systolic blood pressure, diastolic blood pressure and triglycerides). Three dimensionless indexes, designed from the π Vaschy-Buckingham theorem, were assessed using receiver operating characteristic (ROC) curves and a database of 829 subjects. The index π 1 , constructed with the variables: waist circumference, triglycerides height and weight; obtained a better performance as classifier of IR and obesity, presenting an area under the ROC curve of 0.78, sensitivity of 0.82 and specificity of 0.68 for IR diagnosis, and an area under the ROC curve of 0.68, sensitivity of 0.66 and specificity of 0.65 for obesity diagnosis. The π 1 dimensionless index designed in this study is a simple method that allows diagnosing two pathologies from variables that can be collected in a routine medical examination. | - |
dc.description.abstract | Diabetes mellitus and cardiovascular diseases are ailments related to insulin resistance (IR) and obesity. The existing methods for IR and obesity diagnosis are the HOMA-IR and body mass index (BMI), respectively. Those methods have limitations in the diagnosis. The aim of this research is to propose dimensionless indexes that can diagnose subjects with IR and obesity using anthropometrics and biochemical variables (waist circumference, height, weight, systolic blood pressure, diastolic blood pressure and triglycerides). Three dimensionless indexes, designed from the π Vaschy-Buckingham theorem, were assessed using receiver operating characteristic (ROC) curves and a database of 829 subjects. The index π 1 , constructed with the variables: waist circumference, triglycerides height and weight; obtained a better performance as classifier of IR and obesity, presenting an area under the ROC curve of 0.78, sensitivity of 0.82 and specificity of 0.68 for IR diagnosis, and an area under the ROC curve of 0.68, sensitivity of 0.66 and specificity of 0.65 for obesity diagnosis. The π 1 dimensionless index designed in this study is a simple method that allows diagnosing two pathologies from variables that can be collected in a routine medical examination. | - |
dc.language.iso | es_ES | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.source | 2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018. Proceeding | - |
dc.subject | Bmi | - |
dc.subject | Dimensional Analysis | - |
dc.subject | Homa-Ir | - |
dc.subject | Insulin Resistance | - |
dc.subject | Obesity | - |
dc.title | Towards the insulin resistance and obesity diagnosis: A dimensional analysis approach | - |
dc.title.alternative | null | - |
dc.type | ARTÍCULO DE CONFERENCIA | - |
dc.description.city | Cuenca | - |
dc.ucuenca.idautor | Sgrp-901-1 | - |
dc.ucuenca.idautor | Sgrp-901-2 | - |
dc.ucuenca.idautor | Sgrp-901-3 | - |
dc.ucuenca.idautor | Sgrp-901-4 | - |
dc.ucuenca.idautor | 0102905353 | - |
dc.ucuenca.idautor | 081929618 | - |
dc.identifier.doi | 10.1109/ETCM.2018.8580313 | - |
dc.ucuenca.embargoend | 2050-12-31 | - |
dc.ucuenca.version | Versión publicada | - |
dc.ucuenca.embargointerno | 2050-12-31 | - |
dc.ucuenca.areaconocimientounescoamplio | 09 - Salud y Bienestar | - |
dc.ucuenca.afiliacion | Velásquez, J., Universidad Simón Bolívar, Barranquilla, Colombia | - |
dc.ucuenca.afiliacion | Severeyn, E., Universidad Simón Bolívar, Barranquilla, Colombia | - |
dc.ucuenca.afiliacion | Herrera, H., Universidad Simón Bolívar, Barranquilla, Colombia | - |
dc.ucuenca.afiliacion | Utrera, N., Universidad Simón Bolívar, Barranquilla, Colombia | - |
dc.ucuenca.afiliacion | Encalada, L., Universidad de Cuenca, Facultad de Ciencias Médicas, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Wong de balzan, S., Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador; Wong de balzan, S., Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador | - |
dc.ucuenca.volumen | volumen 00 | - |
dc.ucuenca.indicebibliografico | SCOPUS | - |
dc.ucuenca.factorimpacto | 0.138 | - |
dc.ucuenca.numerocitaciones | 0 | - |
dc.ucuenca.areaconocimientofrascatiamplio | 3. Ciencias Médicas y de la Salud | - |
dc.ucuenca.pais | ECUADOR | - |
dc.ucuenca.conferencia | 2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018 | - |
dc.ucuenca.areaconocimientofrascatiespecifico | 3.2 Medicina Clínica | - |
dc.ucuenca.areaconocimientofrascatidetallado | 3.2.20 Endocrinología y Metabolismo | - |
dc.ucuenca.areaconocimientounescoespecifico | 091 - Salud | - |
dc.ucuenca.areaconocimientounescodetallado | 0914 - Tecnologías de Diagnóstico y Tratamiento Médico | - |
dc.ucuenca.fechainicioconferencia | 2018-10-15 | - |
dc.ucuenca.fechafinconferencia | 2018-10-19 | - |
dc.ucuenca.organizadorconferencia | Diego Benítez, IEEE Ecuador Section | - |
dc.ucuenca.comiteorganizadorconferencia | Mónica Huerta, Universidad Politécnica Salesiana (UPS); Enrique V. Carrera, Universidad de las Fuerzas Armadas (ESPE) | - |
dc.ucuenca.urifuente | https://ieeexplore.ieee.org/xpl/conhome/8561378/proceeding | - |
dc.contributor.ponente | Velásquez, Jesús | - |
Appears in Collections: | Artículos |
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