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Clinical Tagging with Joint Probabilistic Models.

MLHC, (2016): 209-225

Cited by: 11|Views31
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Abstract

We describe a method for parameter estimation in bipartite probabilistic graphical models for joint prediction of clinical conditions from the electronic medical record. The method does not rely on the availability of gold-standard labels, but rather uses noisy labels, called anchors, for learning. We provide a likelihood-based objective ...More

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