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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

Spark NLP for Healthcare comes with 600+ pretrained clinical pipelines & models out of the box and is consistently making 4–6x less error than Azure, AWS, and Google Cloud on...

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...

Transfer learning and deep learning unblocked new levels of accuracy for many medical natural language processing tasks. The session shares the current state-of-the-art accuracy on the most widely used healthcare...

Easy to use, scalable NLP framework that can leverage Spark. Introduction of BERT based Relation Extraction models. State-of-the-art performance on Named Entity Recognition and Relation Extraction. Reported SOTA performance of...