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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4956312/ https://www.ncbi.nlm.nih.gov/pubmed/27441367 http://dx.doi.org/10.1371/journal.pone.0158722 |