DataHour: Making Sense of Clinical Text Data at Scale with NLP

Despite ongoing efforts towards using natural language processing (NLP) in information extraction from Electronic Health Records (EHR’s), current solutions require healthcare AI practitioners to make unacceptable trade-offs between delivering state-of-the-art accuracy, generalizing over unseen data points, and preventing the sharing of personal data or intellectual property.

Spark NLP(open-source text processing library for advanced NLP) for Healthcare aims to bridge this gap by providing an accurate, scalable, private, and tunable software library that helps healthcare & pharma organizations build longitudinal patient records and knowledge graphs on real-world text data in clinical settings.

Prerequisites: Enthusiasm for learning Data Science and NLP.

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