Sunday, September 24, 2023

Machine learning models receive failing grades in diagnosing COVID-19

A team of researchers led by the University of Cambridge found that out of the more than 300 COVID-19 machine learning models described in scientific papers in 2020, none is suitable for detecting or diagnosing COVID-19 from standard medical imaging, due to biases, methodological flaws, lack of reproducibility, and “Frankenstein datasets”, reports Tech Xplore. “… any machine learning algorithm is only as good as the data it’s trained on,” said first author Dr. Michael Roberts from Cambridge’s Department of Applied Mathematics and Theoretical Physics.

BIG Media
Our focus is on facts, accurate data, and logical interpretation. Our only agenda is the truth.

BIG Wrap

NASA awaits fiery return of asteroid Bennu samples

(BBC News) A seven-year mission to study what has been described as the most dangerous rock in the Solar System is about to reach...

Lavrov decries the West’s ‘empire of lies’ in UN speech

(Al Jazeera Media Network) Russian Foreign Minister Sergei Lavrov has called the West an “empire of lies” and accused it of adopting a neo-colonial...