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Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
71
Zitationen
10
Autoren
2022
Jahr
Abstract
Model-agnostic XAI frameworks offer an intuitive and effective means of describing oncology ML models, with applications including prognostication and determination of optimal treatment regimens. Using such frameworks presents an opportunity to improve understanding of ML models, which is a critical step to their adoption in the clinic.
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