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OBJECTIVE Current methods of trauma outcome prediction rely on clinical knowledge and experience. This makes the system a subjective score, because of intra-rater variability. This project aims to develop a neural network for predicting survival of trauma patients using standard, measured, physiological variables, and compare its predictive power with that(More)
In mass casualty events Emergency Medical Service Providers (EMS) choose treatment at Scene or a "scoop and run" approach. The latter requires clinically trained personnel at the reception site to triage patients. Current methodology based on Revised Trauma Score (tRTS) requires use of Glasgow Coma Scale, a method reliant on experience and clinical(More)
Ventilator Associated Pneumonia (VAP) is a complication of intubated trauma patients and a leading cause in Intensive Care Unit (ICU) mortality. Since early diagnosis, by specimen culture takes days to complete, an overuse of broad spectrum antibiotics is the usual treatment. As a result there is the risk of developing antibiotic resistant strains. Using an(More)
Complications during treatment of seriously injured trauma patients cause an increase in mortality rates, and increased treatment costs, including bed occupancy. Current methods treat those at risk, and include numbers of false positives. By finding a method to predict those at risk of the three most common recorded Trauma Registry complications,(More)
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