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Creators/Authors contains: "Ho, Joyce"

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  1. ; ; ; ( , International Conference on Learning Representations)
    Accepted Manuscript Full Text Available
  2. ; ; ; ; ; ( , Proceedings of the 2nd Machine Learning for Health symposium)
    Electronic Health Record modeling is crucial for digital medicine. However, existing models ignore higher-order interactions among medical codes and their causal relations towards downstream clinical predictions. To address such limitations, we propose a novel framework CACHE, to provide effective and insightful clinical predictions based on hypergraph representation learning and counterfactual and factual reasoning techniques. Experiments on two real EHR datasets show the superior performance of CACHE. Case studies with a domain expert illustrate a preferred capability of CACHE in generating clinically meaningful interpretations towards the correct predictions.
    Accepted Manuscript Full Text Available
  3. ; ; ; ; ; ( , 2021 IEEE International Conference on Data Mining (ICDM))
    Full Text Available 
  4. ; ; ; ; ( , Proceedings of the 30th ACM International Conference on Information & Knowledge Management)
    Full Text Available 
  5. ; ; ; ( , ADBIS 2021: Advances in Databases and Information Systems)
    Accepted Manuscript Full Text Available
  6. ; ; ( , PAKDD 2021: Advances in Knowledge Discovery and Data Mining)
    Full Text Available 
  7. ; ; ; ; ( , ADBIS 2021: New Trends in Database and Information Systems)
    Accepted Manuscript Full Text Available
  8. ; ; ( , ECIR 2021: Advances in Information Retrieval)
    Accepted Manuscript Full Text Available
  9. ; ; ; ( , Proceedings of the Conference on Health, Inference, and Learning)
    Full Text Available 
  10. ; ; ; ; ( , Proceedings of the Web Conference 2021)
    Full Text Available