Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
Abstract Background Sepsis is one of the most life-threatening medical conditions. Therefore, many clinical trials have been conducted to identify optimal treatment strategies for sepsis. However, finding reliable strategies remains challenging due to limited-scale clinical tests. Here we tried to e...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-024-00665-x |
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