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Description of the analysis workflow. Two patient cohorts were randomly split into training (80%) and test (20%) cohorts (step 1). The training cohorts were used to train various machine learning models, out of which the best performing model was selected and validated (step 2). The most important features of the validated model were used to develop the risk scoring system, and its performance was assessed using the test cohorts (step 3).
