Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

1 code implementation • 18 Aug 2022 • Nicholas I-Hsien Kuo, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Rolf Kaiser, Mark Polizzotto, Louisa Jorm, Sebastiano Barbieri

Clinical data usually cannot be freely distributed due to their highly confidential nature and this hampers the development of machine learning in the healthcare domain.

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

no code implementations • 7 Dec 2021 • Nicholas I-Hsien Kuo, Mark Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri

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).

reinforcement-learning Reinforcement Learning (RL)