Abstract—Minimally or noninvasive continuous glucose monitors estimate plasma glucose from compartments alternative to blood, and may revolutionize the management of diabetes. However, the accuracy of current devices is still poor and it may partly depend on low performance of the implemented calibration algorithm. Here, a new adaptive calibration algorithm based on a population local-model-b…
Abstract—Data-driven techniques have recently drawn significant interest in the predictive modeling of subcutaneous (s.c.) glucose concentration in type 1 diabetes. In this study, the s.c. glucose prediction is treated as a multivariate regression problem, whichisaddressedusingsupportvectorregression(SVR).Theproposed method is based on variables concerning: 1) the s.c. glucose profile; 2) th…
Abstract Children with acute and chronic associated medical conditions often present for surgical and radiological procedures. An understanding of the implications of these conditions for anaesthesia is important in preventing perioperative adverse events. In this article, we outline the relevant clinical features of some of the commonly encountered associated medical conditions and provide g…
Osteoporosis is a major growing public health problem and it is clear that much needs to be done to bridge the gap between patients and practitioners. However, the educator must have a valid and reliable tool to evaluate the effectiveness of the teaching and learning that are done. Osteoporosis Knowledge Tool (OKT) provides an important strategy for healthcare professionals to start early inter…