Researchers evaluated the ability of a machine learning model using continuous blood pressure monitoring data to predict a ...
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 ...
A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
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, ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
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 to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...
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