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Proceedings of SPIE the International Society for Optical Engineering(1)
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Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
ArticleAbstract: Over the last few years, the use of remote sensing data in different applications such as estimationPalabras claves:Machine Learning, QUITO, Remote Sensing, Respiratory disease, Spatial modelsAutores:Cesar Ivan Alvarez Mendoza, Fonseca J., Freitas A., Teodoro A.C.Fuentes:googlescopusModeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data
Conference ObjectAbstract: Several studies have demonstrated that air quality and weather changes have influence in the prevalePalabras claves:air quality, health respiratory risk, Landsat-8, logistic regression model, QUITOAutores:Andres Benitez, Cesar Ivan Alvarez Mendoza, Fonseca J., Freitas A., Juan Ordonez, Teodoro A.C.Fuentes:googlescopusHC+: Towards a framework for improving processes in health organizations by means of security and data quality management
ArticleAbstract: There is currently a need to optimize the levels of perceived quality in most public services. SomePalabras claves:electronic health record (EHR), Health management information system (HMIS or HIS), HIS, Personal health record (PHR), quality, Quality health information, Security, Security health information, Software EngineeringAutores:Caballero I., Fernandez-Medina E., Freitas A., L. E. SánchezFuentes:scopus