title: DETECT the Extremes That Usually Remain Undetected in Conventional Observational Studies.
authors.affiliation: Department of Intensive Care and rvhooijdonk@hotmail.com.
authors.forename: Roosmarijn T M
authors.initials: RT
authors.lastname: van Hooijdonk
authors.affiliation: Division of Critical Care, Stamford Hospital, Columbia University College of Physicians and Surgeons, Stamford, CT.
authors.forename: James S
authors.initials: JS
authors.lastname: Krinsley
authors.affiliation: Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands;
authors.forename: Marcus J
authors.initials: MJ
authors.lastname: Schultz
mesh_terms: D001786:Blood Glucose / Q000032:analysis; D057225:Data Mining; D019317:Evidence-Based Medicine; D006801:Humans; D064887:Observational Studies as Topic; D019095:Point-of-Care Systems
chemical_list: D001786:Blood Glucose