MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring.
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.
Saeed
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Harvard-MIT, Cambridge, MA, USA. msaeed@mit.edu
Lieu
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Raber
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Mark
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RG
D001185:Artificial Intelligence; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D005103:Expert Systems; D006801:Humans; D007256:Information Systems; D007362:Intensive Care Units; D016347:Medical Records Systems, Computerized; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted; D012984:Software