"Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction," said Professor Feng ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Machine learning and computational statistical methods that we study have applications in a variety of domains. We work on such applications in collaboration with various academic and industrial ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

New and expanded statistical methods – Stata 19 offers more than 20 major enhancements or additions to its already expansive suites of methods for statistical analysis. In addition to machine ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Although statistical methods address false positives, there are fewer methods for machine learning (ML). Some approaches rely on transfer learning, ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

28.03.2025 10:00 New Book for (Prospective) Engineers: »Statistical Machine Learning for Engineering with Applications« Swenja Broschart Pressestelle Fraunhofer-Institut für Techno- und ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding ...