Resources

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

A subset of the MIMIC-III Clinical Database containing only patients admitted from 2001 - 2008.

The MIMIC-IV Waveform Database collects physiological signals and measurements from ICU bedside monitors. Coupled with the clinical information available in MIMIC-IV, it provides a detailed view into the physiology of critically ill patients.

Tools for working with waveforms in MATLAB.

A dataset of annotated NIHSS scale items and corresponding scores from stroke patients discharge summaries in MIMIC-III.

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.