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 ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. Subscribe ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...

Hurricane forecast models assess data and compete for accuracy. They also save lives. This year, a new contender has emerged ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...