MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~40,000 critical care patients. It includes demographics, vital signs, laboratory tests, medications, and more.
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