You are here

Addressing errors in a retrospective observational ICU database [poster].

Printer-friendly versionPrinter-friendly version
AMIA 2011 Fall Symposium.
Abstract: 

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.

Callaghan F, Demner-Fushman D, Abhyankar S, McDonald CJ. Addressing errors in a retrospective observational ICU database [poster]. AMIA 2011 Fall Symposium.