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Crit Care. 2015 Mar 16;19:118. doi: 10.1186/s13054-015-0801-4.

State of the art review: the data revolution in critical care.

Author information

1
Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA. mghassem@mit.edu.
2
Beth Israel Deaconess Medical Center, Harvard-MIT Division of Health Science and Technology, Division of Pulmonary, Critical Care and Sleep Medicine, Cambridge, USA. lceli@bidmc.harvard.edu.
3
Departments of Anesthesiology and Neurological Surgery, and the Center for Wireless Health, University of Virginia, Charlottesville, USA. djs4v@virginia.edu.

Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2015 and co-published as a series in Critical Care. Other articles in the series can be found online at http://ccforum.com/series/annualupdate2015. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

PMID:
25886756
PMCID:
PMC4361206
DOI:
10.1186/s13054-015-0801-4
[Indexed for MEDLINE]
Free PMC Article

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