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Fig. 1 | Journal of Intensive Care

Fig. 1

From: Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study

Fig. 1

Depicts the resulting classification and regression tree for predicting in-hospital mortality. The decision tree contains four predictors: time to appropriate antimicrobial therapy, APACHE II score, lactate, and age. Terminal nodes containing predictions for new observations include 1, 5, and 7 (predict death) and 4 and 8 (predict alive). To obtain a prediction, one starts at the top of the tree and follows the arrow corresponding to data for the new observation until a terminal node is reached

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