Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

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.

Note:
A PDF version of the project content is attached as a supplementary file along with this submission.

这两个合成数据集包含了3,910名急性低血压患者和2,164名重症监护室（ICU）脓毒症患者的心跳、实验室检测结果、输注的液体和血管加压药。患者群体是根据先前发表的纳入和排除标准构建的，数据是通过生成对抗网络（GANs）和MIMIC-III临床数据库创建的。与这些数据发布相关的身份泄露风险估计极低（0.045%）。这些数据集作为Health Gym项目的一部分被生成和发布，该项目旨在公开分发合成纵向健康数据，以开发机器学习算法（特别是针对离线强化学习）以及用于教育目的。

注：本项目的PDF版内容作为补充文件随本提交一同附上。