owed to take into account 22 more data points, including ethnicity, arthritis, and kidney disease.
Group items tagged
Microsoft is creating an oracle for catching biased AI algorithms - MIT Technology Review - 0 views
New Quantum ML algorithm could revolutionise Quantum AI before it even begins - Fanatic... - 1 views
CMU expert algorithm can predict biomaterial 3D printing parameters - 3D Printing Industry - 2 views
An important quantum algorithm may actually be a property of nature - MIT Technology Re... - 1 views
An algorithm that can spot cause and effect could supercharge medical AI - MIT Technolo... - 0 views
Self-taught artificial intelligence beats doctors at predicting heart attacks | Science... - 0 views
-
"First, the artificial intelligence (AI) algorithms had to train themselves. They used about 78% of the data-some 295,267 records-to search for patterns and build their own internal "guidelines." They then tested themselves on the remaining records. Using record data available in 2005, they predicted which patients would have their first cardiovascular event over the next 10 years, and checked the guesses against the 2015 records. Unlike the ACC/AHA guidelines, the machine-learning methods were allowed to take into account 22 more data points, including ethnicity, arthritis, and kidney disease."
‹ Previous
21 - 40 of 65
Next ›
Last »
Showing 20▼ items per page