A Neural Network Approach to Predicting Mortality in Pediatric Intensive Care
In this Master’s thesis, data from a pediatric intensive care unit for children and youth at the Skåne University Hospital in Lund, Sweden, are used for predicting child mortality and investigating if the PIM2 model can be improved using neural networks and blood gas test results. In the analysis, 1155 patient admissions were included after removing patients without tests witin the first hour of a