MIMIC II Database for Intensive Care Research
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.