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.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于ICU患者呼吸支持治疗的时序数据集，包含50,920名患者的详细临床数据，覆盖90天的每小时记录。数据集支持多种分析任务，如时间序列分析和强化学习，旨在优化呼吸支持策略和临床决策。