If you use MIMIC data or code in your work, please cite the following publication:

MIMIC-III, a freely accessible critical care database. Johnson AEW, Pollard TJ, Shen L, Lehman L, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA, and Mark RG. Scientific Data (2016). DOI: 10.1038/sdata.2016.35. Available from: http://www.nature.com/articles/sdata201635

Collaborative research

MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~60,000 intensive care unit admissions. It includes demographics, vital signs, laboratory tests, medications, and more.

Selected publications

Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension
— Mayaud et al. Critical Care Medicine, 2013

A data-driven approach to optimized medication dosing: a focus on heparin
— Ghassemi et al. Intensive Care Medicine, 2015

Leveraging a critical care database: SSRI use prior to icu admission is associated with increased hospital mortality
— Ghassemi et al. Chest, 2013

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study
— Pirracchio et al. Lancet Respiratory Medicine, 2015

A targeted real-time early warning score (TREWScore) for septic shock
— Henry et al. Science Translational Medicine, 2015

Acknowledgements

If you use our data, code, or algorithms in your work, please cite this project. Our recommended publication is:

MIMIC-III, a freely accessible critical care database. Johnson AEW, Pollard TJ, Shen L, Lehman L, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA, and Mark RG. Scientific Data (2016). DOI: 10.1038/sdata.2016.35. Available at: http://www.nature.com/articles/sdata201635

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