Essays about: "medicine with IT"
Showing result 1 - 5 of 1750 essays containing the words medicine with IT.
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1. The association between obesity, low-grade inflammation, self-reported knee symptoms and radiographic knee osteoarthritis in individuals with knee pain : A longitudinal cohort study
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : Abstract Background One of the earliest signs of knee osteoarthritis (OA) is knee pain which correlates with inflammation and disease severity. Knee OA affects 260 million worldwide, and is in similarity with obesity, characterized by ongoing low-grade inflammation. READ MORE
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2. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes
University essay from Linköpings universitet/Institutionen för teknik och naturvetenskapAbstract : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. READ MORE
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3. A group of Swedish speakers’ performance on Swedish adaptations of the Bedside WAB-Rand CLQT : The performance of cognitively and linguistically nonimpaired adults on measures of language and cognition and its relationship to verbal fluency
University essay from Uppsala universitet/LogopediAbstract : There are currently no Swedish norms for the bedside version of the Western Aphasia Battery (B-WAB-R) and the Cognitive Linguistic Quick Test (CLQT). It is unknown whether age, gender, and education influence performance in a Swedish context. READ MORE
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4. Decision Trees for Classification of Repeated Measurements
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. READ MORE
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5. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE