De-identification is a critical procedure for safeguarding Protected Health Information (PHI) within clinical notes, wherein the data is anonymized or obfuscated through the replacement of real entities with false ones....
Unleash the Potential of Your Texts with Powerful Keyword Extraction Using Spark NLP and Python TL; DR: Keyword extraction is the process of automatically extracting the most important words and...
Smart assistants like Amazon’s Alexa and Apple’s Siri recognize patterns in speech using Natural Language Processing, comprehend meaning and provide a meaningful response. Search engines surface relevant results based on...
Using machine learning and regex patters to identify and extract date information in Spark NLP TL; DR: Extracting date information from 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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