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Benefits and Challenges in de-identifying and linking unstructured medical records

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.

Accelerating Biomedical Innovation by Combining NLP and Knowledge Graphs

Biomedical research is hampered by the triple challenges of disjointed data, unstructured data explosion, and lack of accessibility. In this talk, we...