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Building Large-Scale Registries from Unstructured Clinical Notes using a Low-Resource Natural Language Processing Pipeline

2022-12-26

Abstract excerpt

Building clinical registries is an important step in improving the quality and safety of patient care. With the growing size of medical records, manual abstraction becomes more and more infeasible and impractical. On the other hand, Natural Language Processing Techniques have shown promising results in extracting valuable information from unstructured clinical notes. However, the structure and nature of clinical n...

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Literature Corpus work
91d3d2d5-e3b1-57aa-9dd0-4b21bb807de5
DOI
10.1101/2022.12.23.22283914
Open publication

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Building Large-Scale Registries from Unstructured Clinical Notes using a Low-Resource Natural Language Processing PipelineDOI 10.1101/2022.12.23.22283914
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