Diagnosing and treating heart failure can be an expensive and lengthy process. But what if you could identify these patients earlier and give them preventative care?
Doctors and data scientists at Penn Medicine in the United States are analysing patients’ data to predict if they are at risk. They have identified 20% more patients at the hospital who are at risk by using Big Data analytics.
The hospital’s Chief Data Scientist, Mike Draugels, explains how they did this:
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