A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer intentions, while highlighting class imbalance, biased data and synthetic ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk ...
Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...