The Heath Gym Synthetic HIV Dataset

###===###<br> This dataset was generated using the Health Gym generative adversarial network (GAN).<br> <br> <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.<br> <br> <br> 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> <br> <br> ###===###<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> <br> ###===###<br> Edited: 24th-May-2022