Predicting Common Audiological Functional Parameters (CAFPAs) as Interpretable Intermediate Representation in a Clinical Decision-Support System for Audiology
The application of machine learning for the development of clinical decision-support systems in audiology provides the potential to improve the objectivity and precision of clinical experts' diagnostic decisions. However, for successful clinical application, such a tool needs to be accurate, as...
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| Main Authors: | , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2020-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |