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Benefits and challenges in de-identifying and linking unstructured records | Healthcare NLP Summit

There are tremendous research benefits of linking de-identified patient records to get a holistic patient view especially for studies related to drug development and patient outcomes. Today, most research data is focused just on structured dataset due to the complexity of de-identifying all records. In this talk, we will present benefits and learning from a de-identification pipeline using Spark NLP and tokenization.

Explainable Deep Learning for Automated Extraction from Free-Text Medical Reports to enable Precision Healthcare

Although individual cancer care is standardized to a certain degree, considerable heterogeneity has been observed in healthcare delivery, uptake, and response to...