GENERATION OF INDIVIDUALIZED SYNTHETIC DATA FOR AUGMENTATION OF THE TYPE 1 DIABETES DATA SETS USING DEEP LEARNING MODELS

Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models

In this paper, we present a methodology based on generative adversarial network architecture to generate synthetic data sets with the intention of augmenting continuous glucose monitor data from individual patients.We use these synthetic data with the aim of improving the overall performance of prediction models based on machine learning techniques

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Bone disease in haemoglobin disorders

Bone disease represents a prominent cause of morbidity in patients with thalassaemia and other haemoglobin disorders.The delay in sexual maturation, the presence of diabetes and hypothyroidism, the parathyroid gland dysfunction, the haemolytic anaemia, the progressive marrow expansion, the iron toxicity on osteoblasts, the iron chelators, and the d

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Giant anal condyloma

A 61 years old male patient presented to the AE Department reporting bleeding during defecation, CRICKET PROTEIN CHOCOLATE difficulty and low pain while walking and sitting.On physical examination we saw an exophytic cauliflower like, ulcerated tumor mass measuring 20 x 14 cm that covered the whole perineum and a similar satellite lesion 3 Rhodiola

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Mindfulness-based stress reduction training supplemented with physiological signals from smartwatch improves mindfulness and reduces stress, but not anxiety and depression.

IntroductionMindfulness-Based Stress Reduction (MBSR) helps counteract the negative consequences of stress.An essential aspect of mind-body therapies is learning to be mindful of emotional reactions and bodily sensations, a process defined as interoceptive awareness.This awareness can also be enhanced by providing physiological feedback from a smar

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