MIMIC-III, a freely accessible critical care database
Alistair E. W. JohnsonLaboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USATom PollardLaboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USALu ShenInformation Systems, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USALi-wei H. LehmanLaboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USAMengling FengData Analytics Department, Institute for Infocomm Research, A*STAR, Singapore 138632, SingaporeMohammad M. GhassemiLaboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USABenjamin MoodyLaboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USAPeter SzolovitsComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USALeo Anthony CeliInformation Systems, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USARoger G. MarkInformation Systems, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA
2016en
ABI
Аннотация
MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.
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