Smoller, Perlis, et al.,
Discussed the challenge of merging note-level NLP conclusions to wholistic patient evaluations.
Reviewed various Bayesian and (more broadly) machine learning approaches to defining which notes contribute most to the accurate classification of the patient phenotype.
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