Classification Models in Intensive Care Outcome Prediction - Can We Improve on Current Models?
نویسندگان
چکیده
Classification models (“machine learners” or “learners”) were developed using machine learning techniques to predict mortality at discharge from an intensive care unit (ICU) and evaluated based on a large training data set from a single ICU. The best models were tested on data on subsequent patient admissions. Excellent model performance (AUCROC (area under the receiver operating curve) =0.896 on a test set), possibly superior to a widely used existing model based on conventional logistic regression models was obtained, with fewer perpatient data than that model.
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