Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...
Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...
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 ...
Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...
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