Essays about: "medical training"
Showing result 1 - 5 of 195 essays containing the words medical training.
-
1. 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
-
2. Dynamic Risk Management in Air Traffic Management System Failures
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : Context This research looks at managing uncertainty and recovery processes following failure of a sociotechnical system. The provision of Air Traffic Services (ATS) is an essential service that must continue to function supporting at a minimum; medical flights, search and rescue operations, humanitarian aid, State and military flights (as demonstrated during the recent global pandemic). READ MORE
-
3. Comparative Analysis of In-Body to Out-Body Wireless CommunicationModules: Test Design and PerformanceEvaluation
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Wireless communication for biomedical equipment is rapidly improving with the invention of new technologies. Due to the absence of cables, wireless technology is a growing area of interest for biomedical applications. As technology advances, many gadgets are becoming smaller and more portable. READ MORE
-
4. Virtual H&E Staining Using PLS Microscopy and Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE
-
5. Classifying femur fractures using federated learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE