Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...
A machine-learning model can improve prediction of progression to death in cases of liver donation after circulatory death ...
Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...
Credolab, a global leader in behavioral and device metadata analytics, today announced the launch of its Income Prediction Model, a new machine-learning solution that enables lenders to estimate ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...
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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...
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