Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

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 ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...

Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...