Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Everyone wants predictive algorithms to be accurate, but there are different ways to define accuracy. Is it better to have an algorithm that's rarely perfect, but also rarely off by a mile? Or to have ...

The code isn’t the most illuminating aspect of Wall Street’s current AI sprint. It’s the atmosphere. Credit traders are half-listening to a risk presentation while scrolling through live pricing in ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

The NHS currently uses prediction algorithms, such as the QCancer scores, to combine relevant information from patient data and identify individuals deemed at high risk of having a currently ...

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.

You have /3 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...