Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model

22 May 2017Ahmed M. AlaaJinsung YoonScott HuMihaela van der Schaar

We report the development and validation of a data-driven real-time risk score that provides timely assessments for the clinical acuity of ward patients based on their temporal lab tests and vital signs, which allows for timely intensive care unit (ICU) admissions. Unlike the existing risk scoring technologies, the proposed score is individualized; it uses the electronic health record (EHR) data to cluster the patients based on their static covariates into subcohorts of similar patients, and then learns a separate temporal, non-stationary multi-task Gaussian Process (GP) model that captures the physiology of every subcohort... (read more)

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