Robust diagnostic classification via Q-learning

Abstract 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 audi...

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Hlavní autoři:	Victor Ardulov, Victor R. Martinez, Krishna Somandepalli, Shuting Zheng, Emma Salzman, Catherine Lord, Somer Bishop, Shrikanth Narayanan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2021-06-01
Edice:	Scientific Reports
On-line přístup:	https://doi.org/10.1038/s41598-021-90000-4
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