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Healthcare NLP Blog

Results from the comparison of De-Identification (removing PHI data) Benchmarks — Spark NLP vs AWS, Google Cloud and Azure

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Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...

Welcome to another NLP Insider Live Show.  Today, I am very exited to welcome Natalia Vassilieva, Director of Product at Celebras Systems. Celebras Systems is a computer system company dedicated...

TFGraphBuilder annotator to create graphs for training NER, Assertion, Relation Extraction, and Generic Classifier models Default TF graphs added for AssertionDLApproach to let users train models without custom graphs New...

With the increased investments and interest from a broader range of users, it’s encouraging to see how a highly regulated industry like healthcare is ushering in AI.

In this article, we are going to have an overview of how to configure a Spark NLP for a Healthcare project in a cluster that will go from zero (for...