Development and evaluation of a reinforcement learning-based decision support system for mechanical ventilation in acute respiratory failure

Huhle, Robert2026-09-122026-09-122024-10-142026-09-12https://opara.zih.tu-dresden.de/handle/123456789/1906https://doi.org/10.25532/OPARA-1045This data publication contains development (Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Local Ethical Committee Approval: BO-EK-423082021) and external validation data set (extracted and preprocessed from MIMIC-IV) for the developed first version of the IntelliLung-AI algorithm based on Reinforcement Learning. Data holds the input/output of the training, testing (development), as well as external validation pipeline as published in the GitLab repository (https://github.com/NIMI-research/rl-acute-respiratory-failure-dss).Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/2::22::205::205-11Development and evaluation of a reinforcement learning-based decision support system for mechanical ventilation in acute respiratory failure