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Machine-learning system flags remedies that might do more harm than good
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Machine-learning system flags remedies that might do more harm than good

by Adam Zewe, Massachusetts Institute of Technology A new machine-learning system could give physicians risk scores for different treatments. Credit: Christine Daniloff, MIT Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ...