Open-access MIMIC-II database for intensive care research

• Main Authors: Lee, Joon (Contributor), Scott, Daniel J. (Contributor), Villarroel, Mauricio (Author), Clifford, Gari D. (Author), Saeed, Mohammed (Author), Mark, Roger Greenwood (Contributor)
• Other Authors: Harvard University- (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers, 2013-01-23T20:00:28Z.
• Subjects: Article
• Online Access: Get fulltext

 The critical state of intensive care unit (ICU) patients demands close monitoring, and as a result a large volume of multi-parameter data is collected continuously. This represents a unique opportunity for researchers interested in clinical data mining. We sought to foster a more transparent and efficient intensive care research community by building a publicly available ICU database, namely Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II). The data harnessed in MIMIC-II were collected from the ICUs of Beth Israel Deaconess Medical Center from 2001 to 2008 and represent 26,870 adult hospital admissions (version 2.6). MIMIC-II consists of two major components: clinical data and physiological waveforms. The clinical data, which include patient demographics, intravenous medication drip rates, and laboratory test results, were organized into a relational database. The physiological waveforms, including 125 Hz signals recorded at bedside and corresponding vital signs, were stored in an open-source format. MIMIC-II data were also deidentified in order to remove protected health information. Any interested researcher can gain access to MIMIC-II free of charge after signing a data use agreement and completing human subjects training. MIMIC-II can support a wide variety of research studies, ranging from the development of clinical decision support algorithms to retrospective clinical studies. We anticipate that MIMIC-II will be an invaluable resource for intensive care research by stimulating fair comparisons among different studies.