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

作者：Scott Daniel J; Lee Joon^*; Silva Ikaro; Park Shinhyuk; Moody George B; Celi Leo A; Mark Roger G

来源：BMC Medical Informatics and Decision Making, 2013, 13(1): 9.

DOI：10.1186/1472-6947-13-9

• MIMIC-II
• Relational database
• Intensive care
• Clinical research
• SQL
• Virtual machine

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. %26lt;br%26gt;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 %26quot;Predicting mortality of ICU Patients%26quot;. %26lt;br%26gt;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.

• 出版日期2013-1-10