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

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

Abstract Background For real-time monitoring of hospital patients, high-quality inference of patients’ health status using all information available from clinical covariates and lab test results is essential to enable successful medical interventions and improve patient outcomes. Developing a comput...

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Bibliographic Details
Main Authors: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E Engelhardt
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Gaussian processes
Electronic health records
Sparse time series
Spectral mixture kernel
Online Access:http://link.springer.com/article/10.1186/s12911-020-1069-4

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http://link.springer.com/article/10.1186/s12911-020-1069-4

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