合成HIV数据集
使用Health Gym GAN生成的合成HIV数据集，用于隐私保护的HIV研究数据共享。
基本信息
资源简介
合成HIV数据集
【数据集背景】
本数据集源站标题为《The Heath Gym Synthetic HIV Dataset》。源站首次发布：2022-04-08。
【数据内容】
源站原始描述：###===### IMPORTANT NOTE: 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. The latest version is much more realistic than this current version. 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 w…
【数据结构与技术规格】
文件数 1 个，合计 44.67 MB。数据集 DOI：10.6084/m9.figshare.19544410.v2。
【主题与分类】
源站学科分类：Artificial intelligence not elsewhere classified。主题标签：Synthetic Dataset、HIV Antiretroviral Therapy、Artificial Intelligence Data processing.、Artificial Intelligence and Image Processing。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://figshare.com/articles/dataset/Synthetic_HIV_Dataset/19544410
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Kuo, Nicholas (2022). The Heath Gym Synthetic HIV Dataset. figshare. Dataset
【使用注意】
· 源站最后修改于 2023-07-13，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：The Heath Gym Synthetic HIV Dataset
- DOI：10.6084/m9.figshare.19544410.v2
- 发布日期：2022-04-08
- 文件数：1 个
- 文件总体积：44.67 MB
- 源站页面：https://figshare.com/articles/dataset/Synthetic_HIV_Dataset/19544410
命令行下载
curl -L -o "ZZZ_C001_FakeHIV.csv" "https://ndownloader.figshare.com/files/34731088"
文件清单
ZZZ_C001_FakeHIV.csv（44.67 MB）
文件总体积 44.67 MB（源站 API 实测）。
数据说明
###===###
IMPORTANT NOTE:
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.
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).
###===###
This dataset was generated using the Health Gym generative adversarial network (GAN).
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:
Kuo et al. (2022).
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. arXiv preprint arXiv:2203.06369.
###===###
- Refer to page 3 for the full description of the dataset.
- Refer to page 13 for the descriptive statistics.
- Refer to pages 25-28 for the quality assessment.
- Refer to page 9 for the patient re-identification risk.
- Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.
- Also refer to our website: www.healthgym.ai for an overview of the project.
###===###
Edited: 12th-July-2023
Date of 2-edits ago: 8th-April-2022
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19544410.v2（source: https://figshare.com/articles/dataset/Synthetic_HIV_Dataset/19544410）。
数据缺失？
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