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.

本研究提出了一组针对重症监护病房（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 v2.2数据集。数据集包含50,920例成人ICU患者的资料，涵盖了90天的每小时通气数据、实验室检查结果、生命体征以及呼吸支持干预、血管加压素注射和连续肾脏替代治疗等治疗干预措施的具体细节。此外，还包括静态变量，如ICU住院时间、出院结果和死亡结果。尽管目前存在开放的ICU数据集，但针对临床呼吸支持治疗设计的基准数据集的有限可用性推动了本数据集的创建。该数据集有助于完成包括时间序列分析、生存分析、序列决策任务和强化学习在内的多种任务。