Papers by Xiaoya Dai

1 papers
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs (2020.acl-main)

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Challenge: a novel framework for text-based diagnosis of diseases requires appropriate balance between accuracy and interpretability.
Approach: They propose a framework that stacks Bayesian Network Ensembles on top of CNN to build an accurate yet interpretable diagnosis system.
Outcome: The proposed framework outperforms the previous automatic diagnosis methods in accuracy performance and the diagnosis explanation of the framework is reasonable.

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