PHI De-Identification with State-of-the-Art NLP De-identification for natural language processing in healthcare is a critical procedure for safeguarding Protected Health Information (PHI) within clinical notes, wherein the data is anonymized...
Unleash the Potential of Your Texts with Powerful Keywords Extraction Using NLP and Python TL; DR: Keyword extraction is the process of automatically extracting the most important words and phrases...
In medicine, NLP (Natural Language Processing) is revolutionizing the way healthcare providers manage vast amounts of unstructured data, such as clinical notes, radiology reports, and patient histories. Unlike consumer applications...
Using machine learning and regex patterns to identify and extract date information in Spark NLP TL; DR: Dates extraction from a text is a common Natural Language Processing (NLP) task...
The social determinants of health (SDoH) are the non-medical factors that influence health outcomes and usually one of the hardest type of entities to extract with pre-trained clinical NLP models....
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