A Selçuk University researcher has compared six machine learning algorithms for predicting front- and rear-side ...

Adjusting a single decision threshold turned an ordinary blood panel into a tool that caught 91.2% of severe heart failure ...

A 13-indicator routine laboratory model shows moderate discrimination for distinguishing heart failure with reduced ejection ...

A 13-indicator routine laboratory model shows moderate discrimination for distinguishing heart failure with reduced ejection fraction (HFrEF), according to a ...

A team of Nigerian researchers has developed an advanced computational framework that could improve renewable energy production from oil palm waste by combining anaerobic digestion experiments with ...

Can artificial intelligence spot women at risk for preterm birth—before symptoms appear? With preterm birth (PTB) still a ...

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

Soil acidification threatens agricultural productivity across large areas of the world, but predicting how well biochar can restore acidic soils ...

A model capable of distinguishing between gastric cancer and colorectal cancer by analyzing oral microorganisms has been ...

Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...

Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...

Artificial intelligence may be able to do more than predict what happens after prostate cancer surgery; it can also help ...