Robust diagnostic classification via Q-learning

Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses. In this context these tools desire two additional properties: interpretability, being able to audit and und...

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Detalles Bibliográficos
Autores principales: Ardulov, Victor, Martinez, Victor R., Somandepalli, Krishna, Zheng, Shuting, Salzman, Emma, Lord, Catherine, Bishop, Somer, Narayanan, Shrikanth
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/PMC8175431/
https://www.ncbi.nlm.nih.gov/pubmed/34083579
http://dx.doi.org/10.1038/s41598-021-90000-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175431/
https://www.ncbi.nlm.nih.gov/pubmed/34083579
http://dx.doi.org/10.1038/s41598-021-90000-4

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