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Using NLP at Scale to Process Patient Charts for Identifying Patient Encounters

In this talk we will discuss how we will use NLP to process large patient charts and to identify patient encounters at scale.

We will discuss how to build out the OCR, ML Pipeline, ML Ops and perform the encounter detection and also talk about the training and modeling in real world NLP.

How to Build a Foundation of AI-based Healthcare Systems Through Language Models?

Language models with transformer such as BERT and GPT-3 have been successfully outperforming on a variety of Natural Language Processing (NLP) tasks,...