The American Journal of Managed Care

Machine Learning Model Improves Prediction of Heart Failure Risk in CKD

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
The University of Manchester

Scientists develop ultra‑robust machine‑learning models capable of stable molecular simulations at extreme temperatures

This research was published in Communications Chemistry.Unprecedented robustness of physics informed atomic energy models at ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...
Forbes

How AI, Data Science, And Machine Learning Are Shaping The Future

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...
Tech Xplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
Chemistry World

Machine learning cuts complexity of computational calculations in catalysis

Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...
Hosted on MSN

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Risk

Model risk management is evolving: regulation, volatility, machine learning and AI

The sudden and severe economic shocks from the pandemic created model risk challenges, because of the magnitude of behavioural and market changes, and the pace at which these changes occurred.