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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Development and validation of MedDRA Tagger: a tool for extraction and structuring medical information from clinical

Marie Humbert-Droz1, Jessica Corley2, Suzanne Tamang3

  • 1Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA.

Medrxiv : the Preprint Server for Health Sciences
|December 23, 2022
PubMed
Summary

We developed the MedDRA tagger, a fast tool for clinical concept extraction using natural language processing (NLP) and weak supervision. This accelerates machine learning model development and enables large-scale clinical data analysis.

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