Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach

摘要

Abstract We built two models in the Institute for Operations Research and the Management Science 2009 data mining contest to predict the hospital transfer (task 1) and the hospital mortality (task 2). Based on the patient medical information provided in the training and testing dataset, we created a series of variables to characterize a patient's current medical condition as well as their historical medical condition. We converted all categorical fields like Diagnosis Code, Clinical Management.