A machine learning study of 532 older cancer patients with PICCs found that simple logistic regression outperformed complex ...
A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...
The tool boosts the ability of physics- and AI-based forecasting models to predict typical and extreme weather events.
Stony Brook University researchers are developing tools to predict how much energy machine-learning models consume and help ...
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