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-IV 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.

我们提出了一款面向重症监护病房（ICU）患者临床呼吸干预任务的时序基准数据集，该数据集源自MIMIC-IV v2.2数据集。本数据集涵盖50920名成年ICU患者，包含90天逐小时通气数据、检验结果、生命体征，以及呼吸支持干预、血管活性药物给药、连续性肾脏替代治疗等治疗干预细节。此外，数据集还包含ICU住院时长、出院结局与死亡结局等静态变量。尽管当前已有公开的ICU数据集，但面向呼吸支持临床治疗的基准数据集仍较为匮乏，这也是本数据集开发的核心动因。该数据集可支撑包括时序分析、生存分析、序列决策任务及强化学习在内的多项研究任务。