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Fig. 1 | Critical Care

Fig. 1

From: Embracing complexity in sepsis

Fig. 1

A schematic overview of immunological predictive modelling. The current immunological state of the patient is inferred from a flow of biological data. The dynamics of these data are used to generate an ensemble of predicted immunological states over time, reflecting the uncertainty of the initial state measurements and analysis errors. Forecasts are combined into a single integrated prediction, which provides a probabilistic assessment of how the immunological landscape evolves over time. The certainty of this prediction decreases as the time window increases. Concept and figure are inspired by the work of Peter Bauer and colleagues [37]

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