Understanding and managing population health and wellness is vital in a changing payer and health plan landscape. But with 80% of the data in unstructured Big Data, so much insight is trapped in text. How are payers to extract these member insights and apply them in statistical and machine learning models?
This webinar explores NLP techniques for data discovery and information extraction to enhance predictive risk models, improve population stratification and automate capture of HEDIS quality measures.
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