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Healthcare NLP Blog

Entity Resolution predicts UMLS codes for medical concepts. While processing medical text, this process relies heavily on NER models.

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Entity Resolution is the process of predicting UMLS codes for medical concepts. While processing medical text, this process relies heavily on the concepts identified by NER models. NER models at...

The trade-off between widespread technology adoption and responsible use often lies on the spectrum of privacy. When it comes to technologies fueled by data, such as artificial intelligence (AI), it’s...

Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities, whose are crutial for natural language processing in healthcare. All improvements...

The release of Spark NLP for Healthcare 3.1 brings significant speed and accuracy improvements for the task of entity resolution, also known as entity linking: the ability to map a...

Artificial intelligence (AI) is poised to change the healthcare and life sciences industry in ways we couldn’t have imagined only years ago. We’re already seeing it in vaccine development, patient...
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