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Visar resultat 46 - 50 av 134 uppsatser som matchar ovanstående sökkriterier.
46. Hur personer med parkinsons sjukdom upplever sjuksköterskans bemötande av dem som patienter. : En kvalitativ litteraturstudie
Kandidat-uppsats, Malmö universitet/Institutionen för vårdvetenskap (VV); Malmö universitet/Fakulteten för hälsa och samhälle (HS)Sammanfattning : Bakgrund: Parkinsons sjukdom är en neurologisk sjukdom som angriper dopaminbildandenervceller i hjärnan som orsakar motoriska och icke motoriska symtom (Eker 2007).Sjukdomen innebär regelbundna möten med vården, där sjuksköterskans bemötande avpatienter med Parkinsons sjukdom är viktigt för patientens upplevelse av mötet. LÄS MER
47. Evaluation of mechanisms for accessing intracellular targets for protein-based drugs
Master-uppsats, Uppsala universitet/Avdelningen för farmaceutisk biokemiSammanfattning : Over the years, biological drugs have evolved and have made breakthroughs in diseases associated with extracellular proteins. However, intracellular proteins that cause disease progression are still largely inaccessible. LÄS MER
48. Analysis of Mouse Whisker Movement Synchronicity
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : In active sensing, sensory organs are actively controlled by the motor system to optimize stimuli acquisition. Coupling behaviour of animal models with electrophysiological signals could give us important insights in the workings of this active sensing in health and disease. In this work, a contribution is made towards this aim. LÄS MER
49. Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysikSammanfattning : Parkinsonian syndrome is an umbrella term including several diseases with similar symptoms. PET images are key when differential diagnosing patients with parkinsonsian syndrome. In this work two automatic diagnosing models are developed and evaluated, with PET images as input, and a diagnosis as output. LÄS MER
50. Feature Extraction and Classification of Medication-Induced Hyperkinesia During Treatment of Parkinson's Disease
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The recent progress in wearable sensor technology, signal processing and machine learning enables novel applications in fields such as automatic disease symptom tracking and classification. In this project, data from an ongoing Parkinson’s disease study at the Lund University Hospital is gathered and analyzed, and classification models of varying complexity for symptom severity are evaluated. LÄS MER