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Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. However, existing studies simply apply naive RL algorithms in discovering optimal treatment strategies for a targeted problem. This kind of direct appli...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6454675/ https://ncbi.nlm.nih.gov/pubmed/30961606 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0755-6 |
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