Papers by Joseph Preston

1 papers
Efficient Diagnosis Assignment Using Unstructured Clinical Notes (2023.acl-short)

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Challenge: Electronic phenotyping entails using electronic health records (EHRs) to identify patients with specific clinical outcomes and determine when those outcomes occurred.
Approach: They propose a framework for electronic phenotyping that integrates labeling functions and a disease-agnostic neural network to assign diagnoses to patients.
Outcome: The proposed framework disambiguates hypertension true positives and false positives with a supervised area under the precision-recall curve (AUPRC) of 0.85.

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