Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities. All improvements come directly from customer feedback, as the library is being used in real-world projects to anonymize millions of medical notes, clinical trial documents, scanned PDF reports & DICOM images.
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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