Essays about: "medical data"
Showing result 1 - 5 of 934 essays containing the words medical data.
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1. Adherence in patients with heart failure. Relationships to symptom burden and hospitalization frequency : A cross-sectional survey study
University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)Abstract : Aim: The aim of the study was to investigate the degree of adherence and non-adherence to treatment regimen in the population with heart failure, as well as to explore relationships to symptom burden and hospitalization-frequency. Introduction: Heart failure – a chronic disease with a somber prognosis and high mortality, incidence and prevalence increasing world-wide. READ MORE
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2. OPTIMIZATION OF CLONE SELECTION PLATFORM FOR PRODUCTION OF RECOMBINANT PROTEINS
University essay from Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologiAbstract : Background Biologics are type of proteins that can be produced by expression in a foreign host for medical healthcare applications in humans. Monoclonal antibodies (mAbs) are type of biologics that are designed to specifically bind to one target, with a purpose to inhibit a certain molecule that could be associated with a disease process. READ MORE
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3. 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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4. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
University essay from Lunds universitet/Matematisk statistikAbstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE
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5. Robustness Analysis of Perfusion Parameter Calculations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. READ MORE