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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Dynamic prediction of hospital admission with medical claim data

Fig. 3

Demonstration of the Dynamic Random Survival Forest (DRSF) Model with sliding windows. The black lines represent different subjects at risk. The red triangles represent the onset of adverse event, e.g. hospital admission. The red box represents the prediction window of interest, while the blue box represents the prediction window for model training and validation purpose corresponding to the red box. At the beginning of the red and blue windows, i.e., the index dates, features are auto-extracted for the model building and prediction (see section “Features and Outcome”). The black and the green boxes are the historical sliding windows trained and predicted following the same concepts as the blue and the red box except they were earlier on the time axis. The green boxes and red box are further combined for the ensemble estimation of the hazard function and survival function at different time points within the red box

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