  These two synthetic datasets comprise vital signs, laboratory test results,
administered fluid boluses and vasopressors for 3,910 patients with acute
hypotension and for 2,164 patients with sepsis in the Intensive Care Unit
(ICU). The patient cohorts were built using previously published inclusion and
exclusion criteria and the data were created using Generative Adversarial
Networks (GANs) and the MIMIC-III Clinical Database. The risk of identity
disclosure associated with the release of these data was estimated to be very
low (0.045%). The datasets were generated and published as part of the Health
Gym, a project aiming to publicly distribute synthetic longitudinal health data
for developing machine learning algorithms (with a particular focus on offline
reinforcement learning) and for educational purposes.
