Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...
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