Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model

Yuankang Zhao; Matthew M. Engelhard

2025 MLHC MLHC 2025

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Yuankang Zhao, Matthew M. Engelhard

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks

Keywords

transformer encoder hawkes process event embedding neural network clinical interpretation impact functions

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