The first challenge of “ad hoc data analysis” is semantic, not technological. Data analytics users could be a patient, practitioner, administrator, or data scientist —the results don’t change based on...
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...
This session presents lessons learned from a real-world manufacturing company that saved over 3,600 hours of manual labor in one year. This was done by applying Spark NLP to automate...
Biomedical research is hampered by the triple challenges of disjointed data, unstructured data explosion, and lack of accessibility. In this talk, we demonstrate how combining new innovations in NLP and...
Unstructured free-text medical notes are the only source for many critical facts in healthcare. As a result, accurate natural language processing is a critical component of many healthcare AI applications...
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