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Bayesian variable/model selection techniques can be used to find a prediction model for mortality at the intensive care unit (ICU) by assessing the effect of hospital-acquired pneumonia (HAP) and other possible variables (age, patient characteristics at day of admission, patient characteristics during ICU stay) on mortality at the ICU.
For more information and to participate please visit the project page.
Projekt Team:
Leonhard Held (Project Leader)
Rachel Heyard