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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |