The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Ensuring machine learning models are trustworthy is no easy task but it is essential as use of these models becomes ubiquitous across society, writes Dr Adrian Byrne. The importance of ensuring that ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Machine learning will only become more commonplace at enterprise level, but knowing the difference between black-box and white-box models is crucial to making the right decision for your organisation.
Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...
Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe. This is the ...
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