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Metabolic Syndrome and Related Disorders|February 17, 2021
The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes MellitusRafael Garcia-Carretero, Luis Vigil-Medina, Oscar Barquero-Perez
Journal of Diabetes Research|June 14, 2016
Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes MellitusManuel Varela, Luis Vigil, Carmen Rodriguez, et al.
Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy|March 26, 2011
The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetesJuan Churruca, Luis Vigil, Esther Luna, et al.
Metabolic Syndrome and Related Disorders|November 2, 2019
Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature SelectionRafael Garcia-Carretero, Luis Vigil-Medina, Oscar Barquero-Perez, et al.
Journal of Medical Systems|December 11, 2019
Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic PopulationsRafael Garcia-Carretero, Luis Vigil-Medina, Oscar Barquero-Perez, et al.
Journal of Diabetes|June 10, 2014
Glucose series complexity at the threshold of diabetesManuel Varela, Carmen Rodriguez, Luis Vigil, et al.
Diabetes/Metabolism Research and Reviews|March 9, 2018
New insights from continuous glucose monitoring into the route to diabetesAna Colas, Luis Vigil, Carmen Rodríguez de Castro, et al.
Critical Care Medicine|January 14, 2010
Differences in complexity of glycemic profile in survivors and nonsurvivors in an intensive care unit: a pilot studyKrista Lundelin, Luis Vigil, Susana Bua, et al.
Journal of the American Society of Hypertension : JASH|April 23, 2010
Cystatin C is associated with the metabolic syndrome and other cardiovascular risk factors in a hypertensive populationLuis Vigil, Manuel Lopez, Emilia Condés, et al.
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