Callaghan FM, Demner-Fushman D, Abhyankar S, McDonald CJ.
Addressing Errors In a Retrospective Observational ICU Database.
AMIA 2011 Fall Symposium. Washington, DC. October 2011.
Real-world, observational hospital databases are often error-prone, with incorrect values, mislabeled entries and missing data problems, which present problems for the medical researcher. In this poster, we present some of the challenges in performing a retrospective observational analysis of obesity and mortality using the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database of ICU patients maintained by the Laboratory for Computational Physiology Department at MIT.
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