Citas bibligráficas
Nuñovero, D., Rodríguez, E. (2021). Solución tecnológica para identificar el nivel de predisposición a ser diagnosticado con diabetes mellitus tipo 2 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/660602
Nuñovero, D., Rodríguez, E. Solución tecnológica para identificar el nivel de predisposición a ser diagnosticado con diabetes mellitus tipo 2 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/660602
@misc{renati/400077,
title = "Solución tecnológica para identificar el nivel de predisposición a ser diagnosticado con diabetes mellitus tipo 2",
author = "Rodríguez Acosta, Ernesto Sebastian",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The present work consists of the development of a technological solution that, using a predictive analysis model, allows the identification and reduction of the risk level of suffering type 2 diabetes mellitus through the use of a wearable device. The proposal is based on previous models that use the automatic classification algorithm based on risk factors, which provide a greater contribution to the results of the presumptive diagnosis of the user who wishes to verify their risk level. This proposal consists of the primary prevention of type 2 diabetes mellitus by means of a non-invasive method composed of phases of capture and storage of risk factors, typical of a triage process; Predictive Analysis model, whose prediction allows obtaining presumptive results and suggestions for recommendations to follow; and preventive treatment so that the user can improve her quality of life. The preliminary validation of the proposal was carried out in a public health institution in Lima, Peru, taking a sample of 660 patients who have the age range between 45 to 85 years, of both genders and who have not been previously diagnosed. with type 2 diabetes mellitus. The results obtained correspond to the increase in physical activity monitored with the wearable device, allowing a sample of 12 people prone to suffer from the disease to be obtained. 8 of these people were able to reduce their risk and become not prone to suffer from the disease with a level average certainty of 48.75%. The results of the use of the solution demonstrated an effectiveness of 66.67%.
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