Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Higher nighttime light exposure is associated with increased light sleep duration, with complex effects on deep sleep duration. New research reveals how outdoor nighttime light exposure subtly impacts ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...