An iPhone-based application for promoting type 2 diabetic patients self- management towards healthy lifestyle habits

— In 2000, according to the World Health Organization, at least 171 million people, 2.8% of the population worldwide, suffered from diabetes. The Centres for Disease Control has defined it as an epidemic disease. Its incidence is increasing rapidly, and it is estimated that by 2030 this number will almost double. Diabetes mellitus occurs throughout the world, but is more common (especially type 2) in the more developed countries. Diabetes is a chronic condition that occurs when pancreas does not assure enough insulin secretion or when the body does not consume the insulin produced. Insulin is a hormone that regulates blood sugar. The effect of uncontrolled diabetes is the hyperglycaemia (blood sugar), which eventually seriously damage many organs and systems, especially the nerves and blood vessels. Diabetes type 2 (most common type of diabetes) is highly correlated with elderly people, obesity or overweight. Promoting a healthy lifestyle helps patients to improve their quality of life and in many cases to avoid complications related to the disease. This paper is intended to describe an iPhone-based application for self-management of type 2 diabetic patients, which allow them improving their lifestyle through healthy diet, physical activity and education

Estevia, el edulcorante natural.

La estevia, Stevia rebaudiana (Bertoni) Bertoni, es una planta herbácea y perenne descrita por primera vez en 1889 por el naturalista Moisés Bertoni. Se trata de una especie originaria de la Región Oriental de Paraguay, donde los indígenas guaraníes la han usado tradicionalmente por sus aplicaciones edulcorantes y medicinales. La hoja fresca de estevia es de 10 a 15 veces más dulce que el azúcar común, la hoja seca y pulverizada lo es unas 70, mientras que los extractos lo son hasta 200 ó 300 veces más, debido a los glucósidos: esteviósido, rebaudósido A, B, C, D, E, dulcósido A y B y steviolbiósido. Entre las propiedades medicinales destacan las acciones hipotensora, antimicrobiana, dietética, digestiva e hipoglucémica, por lo que su uso está muy recomendado para personas afectadas de diabetes tipo 2. El cultivo de estevia ha adquirido importancia en algunos países como China, Paraguay o Brasil. Entre los principales consumidores se encuentran Japón, China, Malasia, Israel, Corea del Sur y Brasil. Sin embargo, en los países de la Unión Europea, por el momento, está denegado su uso como aditivo alimenticio o suplemento dietético

Data mining for the diagnosis of type 2 diabetes

Diabetes is the most common disease nowadays in all populations and in all age groups. diabetes contributing to heart disease, increases the risks of developing kidney disease, blindness, nerve damage, and blood vessel damage. Diabetes disease diagnosis via proper interpretation of the diabetes data is an important classification problem. Different techniques of artificial intelligence has been applied to diabetes problem. The purpose of this study is apply the artificial metaplasticity on multilayer perceptron (AMMLP) as a data mining (DM) technique for the diabetes disease diagnosis. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with decision tree (DT), Bayesian classifier (BC) and other algorithms, recently proposed by other researchers, that were applied to the same database. The robustness of the algorithms are examined using classification accuracy, analysis of sensitivity and specificity, confusion matrix. The results obtained by AMMLP are superior to obtained by DT and BC.