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Preventing risk situations at type-ii diabetes mellitus patients through continuous glucose monitoring and prediction-based teleconsults
(Institute of Electrical and Electronics Engineers Inc., 2015-06)
We present a scheme of eHealth based on teleconsults aimed to reduce unexpected events and complications in type-2 diabetes mellitus (DM-II). To this end, this study has considered the history of glucose tests taken as ...
Persistent poor glycaemic control in individuals with type 2 diabetes in developing countries: 12 years of real-world evidence of the International Diabetes Management Practices Study (IDMPS)
(Springer, 2020-04)
We evaluated the secular trend of glycaemic control in individuals with type 2 diabetes in developing countries, where data are limited. Erratum in Correction to: Persistent poor glycaemic control in individuals with type ...
A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables
(2021-01-01)
This paper proposes a technological solution using a predictive analysis model to identify and reduce the level of risk for type 2 diabetes mellitus (T2DM) through a wearable device. Our proposal is based on previous models ...
Nicotinamide protected first-phase insulin response (FPIR) and prevented clinical disease in first-degree relatives of type-1 diabetics
(ELSEVIER IRELAND LTD, 2006)
Background: After a study of ICA prevalence among relatives of Type-1 diabetics (DMI) in Santiago, Chile, parents of those who tested positive asked us to go on forward with an intervention study.
Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population-based studies.
(Wiley, 2019)
AIM: To summarize the evidence on diabetes risk scores for Latin American populations. METHODS: A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus ...
Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)
Early detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ...
Development of a type two diabetes predictive model for mexicans applying to electronic health records dataset retrieved from National Public Data (ENSANUT 2018)
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-12-02)
Diabetes mellitus is a chronic and severe disease that occurs when the glucose levels in the blood rise above the limits because the body of the patient cannot produce insulin hormone or the amount is insufficient. Likewise, ...
Implementation of foot thermometry plus mHealth to prevent diabetic foot ulcers: study protocol for a randomized controlled trial
(BioMed Central, 2016)
BACKGROUND: Diabetic foot neuropathy (DFN) is one of the most important complications of diabetes mellitus; its early diagnosis and intervention can prevent foot ulcers and the need for amputation. Thermometry, measuring ...
Solución tecnológica para identificar el nivel de predisposición a ser diagnosticado con diabetes mellitus tipo 2
(Universidad Peruana de Ciencias Aplicadas (UPC)PE, 2021-12-01)
El presente trabajo consiste en el desarrollo de una solución tecnológica que, utilizando un modelo de análisis predictivo, permita identificar y reducir el nivel de riesgo de padecer diabetes mellitus tipo 2 a través de ...