Computational medication regimen for Parkinson’s disease using reinforcement learning

Our objective is to derive a sequential decision-making rule on the combination of medications to minimize motor symptoms using reinforcement learning (RL). Using an observational longitudinal cohort of Parkinson’s disease patients, the Parkinson’s Progression Markers Initiative database, we derived...

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Detalles Bibliográficos
Autores principales: Kim, Yejin, Suescun, Jessika, Schiess, Mya C., Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085228/
https://www.ncbi.nlm.nih.gov/pubmed/33927277
http://dx.doi.org/10.1038/s41598-021-88619-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085228/
https://www.ncbi.nlm.nih.gov/pubmed/33927277
http://dx.doi.org/10.1038/s41598-021-88619-4

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