A web-based data visualization tool for the MIMIC-II database
Open Access
- 1 December 2015
- journal article
- research article
- Published by Springer Science and Business Media LLC in BMC Medical Informatics and Decision Making
- Vol. 16 (1), 1-8
- https://doi.org/10.1186/s12911-016-0256-9
Abstract
Although MIMIC-II, a public intensive care database, has been recognized as an invaluable resource for many medical researchers worldwide, becoming a proficient MIMIC-II researcher requires knowledge of SQL programming and an understanding of the MIMIC-II database schema. These are challenging requirements especially for health researchers and clinicians who may have limited computer proficiency. In order to overcome this challenge, our objective was to create an interactive, web-based MIMIC-II data visualization tool that first-time MIMIC-II users can easily use to explore the database. The tool offers two main features: Explore and Compare. The Explore feature enables the user to select a patient cohort within MIMIC-II and visualize the distributions of various administrative, demographic, and clinical variables within the selected cohort. The Compare feature enables the user to select two patient cohorts and visually compare them with respect to a variety of variables. The tool is also helpful to experienced MIMIC-II researchers who can use it to substantially accelerate the cumbersome and time-consuming steps of writing SQL queries and manually visualizing extracted data. Any interested researcher can use the MIMIC-II data visualization tool for free to quickly and conveniently conduct a preliminary investigation on MIMIC-II with a few mouse clicks. Researchers can also use the tool to learn the characteristics of the MIMIC-II patients. Since it is still impossible to conduct multivariable regression inside the tool, future work includes adding analytics capabilities. Also, the next version of the tool will aim to utilize MIMIC-III which contains more data.Keywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada (CA) (RGPIN-2014-04743)
This publication has 10 references indexed in Scilit:
- Classification of hospital acquired complications using temporal clinical information from a large electronic health recordJournal of Biomedical Informatics, 2016
- Personalized Mortality Prediction Driven by Electronic Medical Data and a Patient Similarity MetricPLOS ONE, 2015
- Association between fluid balance and survival in critically ill patientsJournal of Internal Medicine, 2014
- Proton-pump inhibitor use is associated with low serum magnesium concentrationsKidney International, 2013
- Accessing the public MIMIC-II intensive care relational database for clinical researchBMC Medical Informatics and Decision Making, 2013
- Empirical relationships among oliguria, creatinine, mortality, and renal replacement therapy in the critically illIntensive Care Medicine, 2012
- Open-access MIMIC-II database for intensive care researchAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
- Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2)Journal of the American Medical Informatics Association, 2010
- STRIDE--An integrated standards-based translational research informatics platform.2009
- PhysioBank, PhysioToolkit, and PhysioNetCirculation, 2000