A Temporal Dataset for Respiratory Support in Critically Ill Patients

We present a temporal benchmark dataset for clinical respiratory intervention
tasks in intensive care unit (ICU) patients, derived from the MIMIC v2.2
dataset. The data consists of 50,920 adult ICU patients and includes 90-day
hourly ventilation data, laboratory results, vital signs, and details of
treatment interventions such as respiratory support interventions, vasopressor
administration, and continuous renal replacement therapy. Additionally, it
encompasses static variables such as ICU length of stay, discharge outcome,
and death outcome. While there are existing open ICU datasets, the limited
availability of benchmark datasets designed for clinical treatments in
respiratory support motivated the development of the data. The data
facilitates various tasks including time-series analysis, survival analysis,
sequential decision-making tasks, and reinforcement learning.