DocumentCode :
2967498
Title :
MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring
Author :
Saeed, M. ; Lieu, C. ; Raber, G. ; Mark, RG
Author_Institution :
Harvard-MIT, Cambridge, MA, USA
fYear :
2002
fDate :
22-25 Sept. 2002
Firstpage :
641
Lastpage :
644
Abstract :
Development and evaluation of intensive care unit (ICU) decision-support systems would be greatly facilitated by the availability of a large-scale ICU patient database. Following our previous efforts with the MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) Database, we have leveraged advances in networking and storage technologies to develop a far more massive temporal database, MIMIC II. MIMIC II is an ongoing effort: data is continuously and prospectively archived from all ICU patients in our hospital. MIMIC II now consists of over 800 ICU patient records including over 120 gigabytes of data and is growing. A customized archiving system was used to store continuously up to four waveforms and 30 different parameters from ICU patient monitors. An integrated user-friendly relational database was developed for browsing of patients´ clinical information (lab results, fluid balance, medications, nurses´ progress notes). Based upon its unprecedented size and scope, MIMIC II will prove to be an important resource for intelligent patient monitoring research, and will support efforts in medical data mining and knowledge-discovery.
Keywords :
data mining; decision support systems; medical information systems; patient care; patient monitoring; relational databases; temporal databases; very large databases; ICU patient monitors; ICU patient records; MIMIC II; customized archiving system; data mining; integrated user-friendly relational database; intelligent patient monitoring; intensive care unit decision support systems; knowledge discovery; massive temporal ICU patient database; networking technologies; patient clinical information browsing; storage technologies; waveforms; Biomedical monitoring; Blood pressure; Computer displays; Deductive databases; Electrocardiography; Hemodynamics; Large-scale systems; Medical services; Patient monitoring; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2002
ISSN :
0276-6547
Print_ISBN :
0-7803-7735-4
Type :
conf
DOI :
10.1109/CIC.2002.1166854
Filename :
1166854
Link To Document :
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