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Early and accurate prediction of patient outcomes in intensive care units (ICUs) is essential to help with effective clinical decision-making and resource allocation. This thesis investigates the predictive performance of logistic regression and machine learning models for 30-day mortality following ICU admission. The thesis has a particular focus on the contribution of medication administration r
