"Computer Scientists Makes Noisy Data: Can Improve Treatments in Healthcare"
"Computer Scientists Makes Noisy Data: Can Improve Treatments in Healthcare"
Collecting and analyzing data from a large number of patients in order to discover patterns is an important aspect of modern healthcare, but such data must be protected to prevent the violation of individuals' privacy. Breaches could also damage general trust, resulting in fewer people consenting to participate. Researchers at the University of Copenhagen's Department of Computer Science have developed a method for protecting data sets used to train Machine Learning (ML) models. According to Ph.D.