Importantly, our analysis adopted an ensemble tree-based statistical machine learning approach, which provides internal validation of model fit. In each survival tree (of 1,000), the model randomly ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

For example, radiomics is the mining of quantitative image features applied to clinical decision support systems to improve diagnostic, prognostic, and predictive accuracy. 40 Machine and deep ...

The Nobel Committee for Physics has announced that John Hopfield and Geoffrey Hinton won this year’s Nobel Prize in Physics “for foundational discoveries and inventions that enable machine ...

We used a process that involved data capture, predictive modelling and iterative design. AI and machine learning were indispensable in interpreting complex spatial data.