title: State of the art review: the data revolution in critical care.
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.
authors.affiliation: Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA. mghassem@mit.edu.
authors.forename: Marzyeh
authors.initials: M
authors.lastname: Ghassemi
authors.affiliation: 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.
authors.forename: Leo Anthony
authors.initials: LA
authors.lastname: Celi
authors.affiliation: Departments of Anesthesiology and Neurological Surgery, and the Center for Wireless Health, University of Virginia, Charlottesville, USA. djs4v@virginia.edu.
authors.forename: David J
authors.initials: DJ
authors.lastname: Stone
mesh_terms: D003422:Critical Care / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D057225:Data Mining; D019992:Databases as Topic; D006801:Humans; D007362:Intensive Care Units