Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

While it may be the era of supercomputers and 'big data,' without smart methods to mine all that data, it's only so much digital detritus. Now researchers have come up with a novel machine learning ...

When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating animals that emit very ...

Franklin Resources on Tuesday announced it acquired Random Forest Capital, an emerging money management firm that invests in marketplace, or peer-to-peer, lending by using machine learning and ...