Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a retrospective, single-site study

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86. Additional file 2 of Postoperative delirium prediction using machine learning models and preoperative electronic health record data
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88. Additional file 1 of On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
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89. Additional file 1 of Postoperative delirium prediction using machine learning models and preoperative electronic health record data
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90. Additional file 1 of Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning
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