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Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
BACKGROUND AND OBJECTIVE: Machine learning (ML) models are increasingly being utilized in oncology research for use in the clinic. However, while more complicated models may provide improvements in predictive or prognostic power, a hurdle to their adoption are limits of model interpretability, where...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641128/ https://www.ncbi.nlm.nih.gov/pubmed/36388027 http://dx.doi.org/10.21037/tcr-22-1626 |