An interpretable RL framework for pre-deployment modeling in ICU hypotension management

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 and validat...

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Detalles Bibliográficos
Autores principales: Zhang, Kristine, Wang, Henry, Du, Jianzhun, Chu, Brian, Arévalo, Aldo Robles, Kindle, Ryan, Celi, Leo Anthony, Doshi-Velez, Finale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671896/
https://www.ncbi.nlm.nih.gov/pubmed/36396808
http://dx.doi.org/10.1038/s41746-022-00708-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671896/
https://www.ncbi.nlm.nih.gov/pubmed/36396808
http://dx.doi.org/10.1038/s41746-022-00708-4

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