Abstract:BackgroundRespiratory pathogens are a common cause of disease. Currently there is not a practical tool to predict the putative etiology of each case with an inexpensive, fast point-of-care assay. Here, we describe a decision support tool that enables the prediction of both bacterial and viral respiratory pathogen infections in a single patient, using a Machine Learning model.MethodsThe data were obtained from the Hadassah-Hebrew University Medical Center during a period of 10 years beginning from 2007 and cont… Show more
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