Using Big Data, Machine Learning to Reduce Chronic Disease Spending

Diabetes and heart disease are two of the most costly and prevalent chronic conditions impacting patients in the US, leading the healthcare industry to spend billions every year to treat and manage these disorders.

As care delivery continues to evolve from reactive disease treatment to proactive, preventive care, more organizations are looking to advanced technologies like artificial intelligence and machine learning to assist with drawing actionable conclusions from their big data resources. Boston University’s College of Engineering is one such organization.

Author: Jessica Kent

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