Can one-step reinforcement learning guide optimal timing for PEG and tracheostomy in severe TBI? Insights from a 2016–2023 retrospective cohort study at a single academic institution
Early interventions are associated with improved outcomes; however, delaying PEG or trach placement may be advantageous in select situations to reduce mortality. RL techniques, such as TD and Q-learning, can aid in decision-making regarding interventions.
Authors
- Jade Vanderpool
- Shrinit Babel (ORCID: https://orcid.org/0000-0002-6180-7778)
- Maurice Inkel
- Milad Behbahaninia
Institutions
- University of South Florida (US)
- Tampa General Hospital (US)
- Florida College (US)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-11-13
- DOI
- https://doi.org/10.3389/fneur.2025.1700064
- Primary Topic
- Tracheal and airway disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of South Florida