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scopus(3)
A Machine Learning Approach for Blood Glucose Level Prediction Using a LSTM Network
Conference ObjectAbstract: Diabetes is a chronic disease characterized by the elevation of glucose in blood resulting in multipPalabras claves:Blood glucose level pbkp_rediction, Blood glucose level prediction, Linear interpolation, long short-Term memory, Machine Learning, TIME SERIESAutores:Belén Maldonado-Cuascota, Diana León Domínguez, Fernando A. Gonzales-Zubiate, Gabriela Pineda-Molina, Hidalgo-Parra A.A., Luis Zhinin-Vera, Nayeli Y. Gómez-Castillo, Pedro E. Cajilima-CardenazFuentes:scopusInertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients
ArticleAbstract: Low back pain (LBP) is one of the leading causes of disability in the world's population, yet therePalabras claves:Anova, Clinical evaluation, inertial sensors, Low back pain, Machine Learning, predictive models, Regression ModelsAutores:Andrés Tirado-Espín, Cadena-Morejón C., Cesar Guevara, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Jeremy Carlosama, Kevin Landázuri, Lenin Javier Ramirez Cando, Luis Zhinin-Vera, Patricia Acosta-VargasFuentes:scopusEnhancing Diabetes Diagnosis Through Machine Learning: A Comparative Study
ArticleAbstract: Diabetes is a chronic metabolic disorder characterized by persistent hyperglycemia. The globally risPalabras claves:Classification Models, DIABÉTES, Machine Learning, predictive analyticsAutores:Anahí Vaca, Andrés Tirado-Espín, Bryan Chulde-Fernández, Cadena-Morejón C., Cesar Guevara, Denisse Enríquez-Ortega, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Lenin Javier Ramirez Cando, Luis Zhinin-Vera, Patricia Acosta-Vargas, Paula Pozo-CoralFuentes:scopus