The Heath Gym Synthetic HIV Dataset

###===###<br> IMPORTANT NOTE:<br> Dear viewers, please consider Version 2.0 of our synthetic ART for HIV dataset. Kuo, Nicholas (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22827878.v1 The latest version is much more realistic than this current version.<br> Interested viewers may also refer to our preprint for further details. Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). ###===###<br> This dataset was generated using the Health Gym generative adversarial network (GAN).<br> The dataset contains viral loads, CD4 counts, and drug regimen information for 8,916 patients with HIV. The dataset is stored in CSV format. Please consult our archived paper for more details:<br> Kuo et al. (2022).<br> The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. <em>arXiv preprint arXiv:2203.06369</em>. ###===###<br> 1) Refer to page 3 for the full description of the dataset.<br> 2) Refer to page 13 for the descriptive statistics.<br> 3) Refer to pages 25-28 for the quality assessment.<br> 4) Refer to page 9 for the patient re-identification risk.<br> 5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.<br> 6) Also refer to our website: www.healthgym.ai for an overview of the project.<br> ###===###<br> Edited: 12th-July-2023<br> Date of 2-edits ago: 8th-April-2022

重要提示：
各位关注者，请参阅本团队开发的HIV人工抗逆转录病毒治疗（Antiretroviral Therapy, ART）数据集2.0版本。相关文献引用：库奥，尼古拉斯（2023）。《Health Gym v2.0 HIV人工抗逆转录病毒治疗数据集》。figshare。数据集。https://doi.org/10.6084/m9.figshare.22827878.v1。该数据集的最新版本相较当前版本更具真实性。
欲了解更多细节，可参阅我们的预印本：库奥，尼古拉斯·I.、路易莎·约姆与塞巴斯蒂亚诺·巴比耶里。《基于生成对抗网络生成具有类别不平衡分布的合成临床数据：以HIV抗逆转录病毒治疗为例》。arXiv预印本arXiv:2208.08655（2022）。

本数据集基于Health Gym生成对抗网络（Generative Adversarial Network, GAN）生成。
本数据集涵盖8916名HIV感染者的病毒载量、CD4细胞计数以及用药方案信息，以CSV格式存储。如需了解更多细节，请参阅我们的存档论文：库奥等人（2022）。《Health Gym：用于强化学习算法开发的合成健康相关数据集》。arXiv预印本arXiv:2203.06369。

1) 数据集完整说明请参阅第3页。
2) 描述性统计结果请参阅第13页。
3) 质量评估内容请参阅第25至28页。
4) 患者重识别风险相关内容请参阅第9页。
5) 本合成数据集的新型生成对抗网络构建方法请参阅第4、5及14页。
6) 如需了解项目概览，可访问我们的官网：www.healthgym.ai。

编辑时间：2023年7月12日
上两次编辑的时间：2022年4月8日