Many critical facts required by healthcare AI applications - like patient risk prediction, cohort selection, automated clinical coding, and clinical decision support - are locked in unstructured free-text data. Recent advances in deep learning have raised the bar on achievable accuracy for tasks like named entity recognition, assertion status detection, entity resolution, deidentification, and others.
Spark NLP for Healthcare provides production-grade, scalable, and trainable implementation of novel healthcare-specific natural language processing (NLP) algorithms and models. The product is licensed by John Snow Labs, the creator of Spark NLP, and provides data scientists with a library and pre-trained models for the most common medical NLP tasks. This is a hands-on workshop that will enable you to write, edit, and run Python notebooks that use the product's functionality.
Hosted by Julia Mohler
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