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ZZZ_C001_FakeHIV.csv (42.6 MB)

The Heath Gym Synthetic HIV Dataset

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Version 2 2023-07-12, 07:03
Version 1 2022-05-24, 04:41
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posted on 2022-05-24, 04:41 authored by Nicholas KuoNicholas Kuo

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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


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1) Refer to page 3 for the full description of the dataset.
2) Refer to page 13 for the descriptive statistics.
3) Refer to pages 25-28 for the quality assessment.
4) Refer to page 9 for the patient re-identification risk.
5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.
6) Also refer to our website: www.healthgym.ai for an overview of the project.


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Edited: 24th-May-2022

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