Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers have developed and validated predictive models to estimate the core pain-processing mechanisms using a limited set of easily accessible, routinely obtainable clinical measures. Researchers ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

This research explores predictive modeling of mental health awareness using the Naive Bayes algorithm, focusing on personal and social factors such as age, gender, stress levels, prior mental health ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Texas Instruments introduced single-chip battery fuel gauges with adaptive Dynamic Z-Track technology for battery-powered devices. The predictive modeling algorithm in TI’s BQ41Z90 and BQ41Z50 gauges ...

Background: Acute Pancreatitis-Associated Lung Injury (APALI) is one of the most severe and life-threatening systemic complications in acute pancreatitis patients, with high rates of morbidity and ...

Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food safety A predictive model is a mathematical framework or algorithm that ...