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Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology(5)
Computational Intelligence and Neuroscience(1)
Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.(1)
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Ciencias de la computación(3)
Enfermedades(2)
Medicina y salud(2)
Programación informática, programas, datos, seguridad(2)
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Aprendizaje automático(7)
Ciencias de la computación(2)
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Diabetes(1)
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Application of Machine Learning for the Prediction of Covid19 through Classification Techniques and Supervised Learning
Conference ObjectAbstract: In January 2020, in the city of Wuhan in China, a highly dangerous disease for humans appeared, cataPalabras claves:ALGORITHMS, covid-19, Machine learning, Supervised learningAutores:Darwin Patiño-Pérez, Ericka Reyes Cun, Liliana Sarmiento Barreiro, Miguel Botto-Tobar, Miguel Molina-Calderón, Robalino F.B., Roberto Crespo-MendozaFuentes:scopusIntelligent predictive model of BMI in nutritionists' patients using Machine Learning algorithms: Logistic Regression and Neural Networks
Conference ObjectAbstract: The residents of the Bastión Popular Cooperative in Ecuador have health problems due to inadequate fPalabras claves:Dense Neural Networks, Machine learning, Multiclass, Multinomial Logistic Regression, Supervised learningAutores:Christopher Ivan Acosta-Varela, Darwin Patiño-Pérez, Eleanor Alexandra Varela Tapia, Ivan Leonel Acosta-Guzman, Joselyn Denisse Tumbaco-Bravo, Patricia María Marcillo-SánchezFuentes:scopusSupervised Learning Techniques for the Optimization of Diagnosis Processes of Diabetes in Public Health Centers
Conference ObjectAbstract: One of the problems in public health care services in developing countries such as Ecuador, is the dPalabras claves:DIABÉTES, Health Centers, Optimization, Public Policies, Supervised learningAutores:Ángel García Gutiérrez, Carlos García Gutiérrez, Cujilan Y.C., Darwin Patiño-Pérez, Miguel Botto-Tobar, Mora C.M., Rivera D.I.Fuentes:scopusTécnicas de machine learning basadas en aprendizaje supervisado para la predicción de Enfermedades respiratorias y/o pulmonares ocasionadas y derivadas por el Covid19
Bachelor ThesisAbstract: El virus SARS-COV-2, responsable de la enfermedad COVID-19, y a su vez responsable de afectaciones pPalabras claves:APRENDIZAJE AUTOMÁTICO, CHEST X-RAYS, convolutional neural networks, COVID 19, KAGGLE, Machine learning, Radiografías de tórax, Redes neuronales convolucionalesAutores:Darwin Patiño-Pérez, James Bryan Terranova Pihuave, Olga Patricia Lopez TumbacoFuentes:rraaeSegmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
ArticleAbstract: Image segmentation and computer vision are becoming more important in computer-aided design. A compuPalabras claves:Autores:Ahanger T.A., Darwin Patiño-Pérez, Edwin Guillermo Guaman Redrovan, Gonzalez N., Huerta-Suárez C., Marcelo Zambrano-Vizuete, Miguel Botto-Tobar, Wladimir Paredes-ParadaFuentes:googlescopusValidation of the Prediction of Effectiveness of Statistical Time Series Models Using an Artificial Neural Network Model
Conference ObjectAbstract: The objective of this project was to predict the number of cases of infections and deaths from covidPalabras claves:Artificial Intelligence, covid-19, Neural networks, pbkp_rediction, TIME SERIESAutores:Angélica A. Ochoa-Flores, Darwin Patiño-Pérez, Icaza-Rivera D., Liliana Sarmiento-Barreiro, Lorenzo Cevallos-Torrez, Luis Chóez-Acosta, Miguel Botto-TobarFuentes:scopusMachine Learning Models based in Supervised Learning for the Detection of Diabetes Mellitus in the City of Guayaquil
Conference ObjectAbstract: Due to the problems presented by public health centers in the city of Guayaquil in Ecuador, a groupPalabras claves:DIABÉTES, Health Centers, Machine learning, Public Policies, Supervised learningAutores:Alicia Ruíz-Ramírez, Darwin Patiño-Pérez, Game-Mendoza K., Iñiguez-Muñoz F., María Nivela-Cornejo, Omar Otero-Agreda, Vinueza-Burgos G.d.C.Fuentes:scopus