Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk ...
A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy ...
Machine learning (ML) is a foundational technology for modern AI, transforming the operational landscape of contemporary businesses. ML technology uses data to find patterns, spot anomalies and make ...
Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...
A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...
The polar vortex, a swirling mass of cold air encircling the North Pole, is sometimes disrupted by sudden stratospheric warming (SSW) events, unleashing waves of frigid air that penetrate farther ...