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Published in: BMC Medical Informatics and Decision Making 1/2013

Open Access 01-12-2013 | Software

Accessing the public MIMIC-II intensive care relational database for clinical research

Authors: Daniel J Scott, Joon Lee, Ikaro Silva, Shinhyuk Park, George B Moody, Leo A Celi, Roger G Mark

Published in: BMC Medical Informatics and Decision Making | Issue 1/2013

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Abstract

Background

The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database is a free, public resource for intensive care research. The database was officially released in 2006, and has attracted a growing number of researchers in academia and industry. We present the two major software tools that facilitate accessing the relational database: the web-based QueryBuilder and a downloadable virtual machine (VM) image.

Results

QueryBuilder and the MIMIC-II VM have been developed successfully and are freely available to MIMIC-II users. Simple example SQL queries and the resulting data are presented. Clinical studies pertaining to acute kidney injury and prediction of fluid requirements in the intensive care unit are shown as typical examples of research performed with MIMIC-II. In addition, MIMIC-II has also provided data for annual PhysioNet/Computing in Cardiology Challenges, including the 2012 Challenge “Predicting mortality of ICU Patients”.

Conclusions

QueryBuilder is a web-based tool that provides easy access to MIMIC-II. For more computationally intensive queries, one can locally install a complete copy of MIMIC-II in a VM. Both publicly available tools provide the MIMIC-II research community with convenient querying interfaces and complement the value of the MIMIC-II relational database.
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Metadata
Title
Accessing the public MIMIC-II intensive care relational database for clinical research
Authors
Daniel J Scott
Joon Lee
Ikaro Silva
Shinhyuk Park
George B Moody
Leo A Celi
Roger G Mark
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2013
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/1472-6947-13-9

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