Automated Identification of Clinical Procedures in Free-Text Electronic Clinical Records with a Low-Code Named Entity Recognition Workflow

Ali NematiApr 13, 202227 sec read20 views

Researchers developed a low-code named entity recognition workflow using Prodigy to quickly create datasets for training models that can automatically identify clinical procedures in unstructured text from electronic health records. This advancement is crucial for improving data extraction and analysis efficiency in healthcare settings, offering content creators a powerful tool for managing and utilizing free-text medical documentation.

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