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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Detalles Bibliográficos
Autores principales: Yu, Chao, Dong, Yinzhao, Liu, Jiming, Ren, Guoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454675/
https://www.ncbi.nlm.nih.gov/pubmed/30961606
http://dx.doi.org/10.1186/s12911-019-0755-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454675/
https://www.ncbi.nlm.nih.gov/pubmed/30961606
http://dx.doi.org/10.1186/s12911-019-0755-6

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