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Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes
Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multiple algorithmic parameters. This study explores the...
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| Publicado en: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4956312/ https://ncbi.nlm.nih.gov/pubmed/27441367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0158722 |
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