Lorraine Possanza

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This Algorithm Accidentally Predicted Which Hospital Patients Were Most Likely To Die

Stephanie M. Lee | Buzz Feed News | September 19, 2016

Sepsis is one of the biggest hospital hazards you’ve maybe never heard of. When the body overreacts to an infection, it can trigger widespread inflammation that can in turn cause tissue damage and organ failure. It causes one-third to one-half of all deaths in US hospitals. But because sepsis’s symptoms, like fever and difficulty breathing, sometimes look a lot like other illnesses, it can be hard to detect, especially in the early stages. So a team at Banner Health, a hospital system in Phoenix, Arizona, turned to computer science for a solution...

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