We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...
If you’re looking to get into the tech world, especially if you’re interested in what the it companies in Detroit are up to, ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly predicted severe diabetes complications for Maryland Medicare ...
Across child protection services, frontline staff are often making decisions in the hardest possible conditions: under time pressure, with incomplete information and high stakes on every side. Get it ...
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