An interpretable RL framework for pre-deployment modeling in ICU hypotension management
Abstract Computational methods from reinforcement learning have shown promise in inferring treatment strategies for hypotension management and other clinical decision-making challenges. Unfortunately, the resulting models are often difficult for clinicians to interpret, making clinical inspection an...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
|
Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-022-00708-4 |