Resources

Machine learning models that have been trained using MIMIC-III to enable the creation of synthetic discharge summaries.

Physiological signals (including continuous ECG, PPG, ABP, and other signals) that are associated with patients in the MIMIC-III Clinical Database.

The MIMIC-III Waveform Database contains numerous physiological signals (including continuous ECG, PPG, ABP, and other signals) and periodic measurements, recorded by bedside patient monitors from about 30,000 patients in intensive care units.

Maternal visceral adipose tissue measurements collected as part of a cohort study of 154 pregnant women.

Dataset extracted from MIMIC-II for a tutorial on effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes.

The ShARe/CLEF eHealth 2014 Challenge (Task 2) on Disorder Attributes in Clinical Reports