To address this issue, the researchers applied the Random Forest machine learning model, which enables the simulation of ...

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

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Operating the Colorado River effectively requires forecasting the highly variable flows beyond the seasonal timescale. The traditional NWS River Forecast Center method based on ESP is not skillful ...