Bibliographic citations
Ordóñez, D., Vizcarra, E. (2018). Modelo Predictivo para el diagnóstico de la Diabetes Mellitus Tipo 2 soportado por SAP Predictive Analytics [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/624417
Ordóñez, D., Vizcarra, E. Modelo Predictivo para el diagnóstico de la Diabetes Mellitus Tipo 2 soportado por SAP Predictive Analytics [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2018. http://hdl.handle.net/10757/624417
@misc{renati/1285129,
title = "Modelo Predictivo para el diagnóstico de la Diabetes Mellitus Tipo 2 soportado por SAP Predictive Analytics",
author = "Vizcarra Infantes, Erick Raphael",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2018"
}
The project is focused on the development of a predictive model that enables prediction of the development of type 2 diabetes mellitus supported by SAP Predictive Analytics. Its main purpose is the definition of a predictive model that allows institutions that offer health coverage (both public and private) to optimize their diagnostic process and also enables the use of the prediction result in order to determine which actions could be taken, based on medical recommendations, on behalf of the patients benefit. To achieve the purpose of the project, an investigation has been done where there was an alignment between the 4 main chronic diseases based on their economic impact and the 10 global goals set by the World Health Organization, identifying diabetes as the chronic disease of the biggest impact for Peru due to the growing incidence factor in the country, caused mainly because of serious deficiencies in daily nutritional habits and a lack of workout culture, along with being a disease that has the most incidence in developing countries such as Peru since it is not mitigated accordingly because of lack of prevention, knowledge or economic motives. There has also been a benchmarking of Predictive Analytics tools in order to see which one complies the best with the requirements of both the chronic disease and the Peruvian context.
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