International journal of medical informatics
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Multicenter Study
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation.
To evaluate the application of machine learning methods, specifically Deep Neural Networks (DNN) models for intensive care (ICU) mortality prediction. The aim was to predict mortality within 96 hours after admission to mirror the clinical situation of patient evaluation after an ICU trial, which consists of 24-48 hours of ICU treatment and then "re-triage". The input variables were deliberately restricted to ABG values to maximise real-world practicability. ⋯ An LSTM-based model could help physicians with the "re-triage" and the decision to restrict treatment in patients with a poor prognosis.