Reinforcement Learning for Precision Oncology

SIMPLE SUMMARY: The accelerating merger of information technology and cancer research heralds the advent of novel methods and models for clinical decision making in oncology. Reinforcement learning—as one of the major subspecialties in machine learning—holds the potential for the development of high...

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Detalles Bibliográficos
Autores principales: Eckardt, Jan-Niklas, Wendt, Karsten, Bornhäuser, Martin, Middeke, Jan Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472712/
https://www.ncbi.nlm.nih.gov/pubmed/34572853
http://dx.doi.org/10.3390/cancers13184624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472712/
https://www.ncbi.nlm.nih.gov/pubmed/34572853
http://dx.doi.org/10.3390/cancers13184624

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