Examining explainable clinical decision support systems with think aloud protocols.
Machine learning tools are increasingly used to improve the quality of care and the soundness of a treatment plan. Explainable AI (XAI) helps users in understanding the inner mechanisms of opaque machine learning models and is a driver of trust and adoption. Explanation methods for black-box models...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Public Library of Science (PLoS)
2023-01-01
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| سلاسل: | PLoS ONE |
| الوصول للمادة أونلاين: | https://doi.org/10.1371/journal.pone.0291443 |
| الوسوم: |
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