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Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*

Critical Care Medicine · 2011 · Vol. 39(5) · pp. 952–960

M. A. Saeed✉(Massachusetts Institute of Technology)Mauricio Villarroel(Massachusetts Institute of Technology)Andrew Reisner(Massachusetts Institute of Technology)Gari D. Clifford(Harvard University Press)Li-wei H. Lehman(University of Oxford)G.B. Moody(University of Oxford)Thomas Heldt(University of Oxford)Tin Htet Kyaw(Admomo Media (China))Benjamin Moody(University of Oxford)Roger G. Mark(Harvard University Press)

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Abstract

MIMIC-II documents a diverse and very large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records. It establishes a new public-access resource for critical care research, supporting a diverse range of analytic studies spanning epidemiology, clinical decision-rule development, and electronic tool development.

Sepsis Diagnosis and Treatment Healthcare Technology and Patient Monitoring Hemodynamic Monitoring and TherapyMedicineIntensive care unitIntensive careDiagnosis codeHealth Insurance Portability and Accountability ActPopulationHealth careMedical emergencyDatabaseIntensive care medicine

MeSH terms

AdultArtificial IntelligenceCritical CareExpert SystemsFemaleHumansIntensive Care UnitsMedical Informatics ApplicationsMonitoring, PhysiologicQuality ControlRetrospective StudiesUnited StatesDatabases, FactualMedical Records Systems, ComputerizedDecision Support Systems, Clinical

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1,152

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Big Data Analytics in Healthcare