نتایج جستجو برای: diabetes network
تعداد نتایج: 961150 فیلتر نتایج به سال:
'SWEET' is an acronym standing for 'Better control in pediatric and adolescent diabeteS: Working to crEate CEnTers of Reference (CORs)' and is based on a partnership of established national and European diabetes organizations such as International Diabetes Federation, Federation of European Nurses in Diabetes, and Primary Care Diabetes Europe (PCDE, www.sweet-project.eu). A three-level classifi...
BACKGROUND Compared to those in higher socioeconomic groups, diabetic patients in lower socioeconomic groups have less favourable metabolic control and experience more diabetes-related complications. They encounter specific barriers that hinder optimal diabetes self-management, including a lack of social support and other psychosocial mechanisms in their immediate social environments. Powerful ...
Diabetes is a metabolic disease that occurs due to high blood sugar levels in the body. If it not treated, diabetes-related health problems may occur many vital organs of With latest techniques machine learning technologies, some applications can be used diagnose diabetes at an early stage. In this study, data set from laboratories Medical City Hospital Endocrinology and Specialization Center A...
rivers and runoff have always been of interest to human beings. in order to make use of the proper water resources, human societies, industrial and agricultural centers, etc. have usually been established near rivers. as the time goes on, these societies developed, and therefore water resources were extracted more and more. consequently, conditions of water quality of the rivers experienced rap...
Primary prevention of diabetes is increasingly recognized by both health plans and employers as an important strategy to improve the health of insured populations. As a part of the Natural Experiments in Translation for Diabetes (NEXT-D) network, the Kaiser Permanente Northern California (KPNC) Division of Research is assessing the effectiveness of 2 health plan-initiated programs to prevent th...
Aiming at the current low pre-diabetes detection rate, this paper proposes a PSO-SVM model to assist doctors in identifying risk of patients with pre-diabetes. The uses Support Vector Machine as verification algorithm, takes radial basis kernel function, adaptive Particle Swarm Optimization algorithm optimize penalty factor and parameters Machine, establishes model, finally compares Neural Netw...
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