Skip to main content
Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Sparse multi-output Gaussian processes for online medical time series prediction

Fig. 1

An example of time series data of 24 clinical covariates for a septic patient in the HUP data. The 24 covariates include four vital signs—respiratory rate (RR), heart rate (HR), systolic blood pressure (SBP), body temperature—and 20 lab results. The time series are aligned by the patient’s admission time. The density of sampling varies widely over the 24 covariates. A full description of these covariates can be found in Table 1

Back to article page