Creating visualizations for analysis and reporting using Spark NLP and Spark NLP display. TL;DR: Visualizing Named Entities is a technique for representing the results of named entity recognition (NER) in...
Use pretrained models, segment texts into words, and train custom word segmenter models with Python. TL; DR: Some Asian languages don’t separate words by white space like English, and NLP...
Voice of Patients (VoP) NER, a brand-new Named Entity Recognition (NER) model released by John Snow Labs, can extract clinical entities from patient forums much better than any other clinical...
De-Identification is a process that needs to be applied to de-identify (anonymize) or obfuscate (replace with fake entities) PHI (protected health information) data from clinical notes. Obfuscation of PHI entities...
RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software. Entity Resolver pipeline in...
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