Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during manual driving. However, identifying metro drivers’ cognitive distractions faces challenges as ...

• Repurposed COVID-19 RATs provide an ideal platform for observing differences in blood coagulability. • Random Forest image classification algorithms can facilitate rapid coagulation status ...

To address this issue, the researchers applied the Random Forest machine learning model, which enables the simulation of missing or unmeasured geochemical elements. This innovative approach uncovers ...