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Feature selection and hybrid machine learning (ML) model. The raw cardiothoracic (CT) surgery dataset contained numerous features. To reduce the features to a manageable number, a random forest feature selection procedure was performed. The selected features were then used as inputs into the Gaussian Process (GP) regression and classification ML algorithms.
