Go beyond structured clinical codes or claims data to analyze the patient population. Leverage the high-value data within clinical documentation, text, and PDFs to build deeper and more accurate patient...
Building databases that track real patients’ stories over time is essential for medical research, drug development, clinical quality improvement, population health, and chronic disease management. Doing this well traditionally presents...
We are thrilled to announce that Spark NLP for Healthcare 2.6.0 has been released. Start your free trial – or expect an email with upgrade details if you’re already a subscriber....
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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