Clinical management of patients receiving immune checkpoint inhibitors (ICIs) could be informed using accurate predictive tools to identify patients at risk of short-term acute care utilization (ACU).

His expertise includes data analytics, artificial intelligence, cloud migration, and data warehousing—all critical components in accurate cancer recurrence prediction.

Your personal data are used daily to influence your behaviors and beliefs. AI, ML and prediction literacy are now fundamental skills.

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

Machine learning predictions and system updates in real-time Huyen's analysis refers to real-time machine learning models and systems on 2 levels.

A new study by researchers at MIT explores the problem of shortcuts in a popular machine-learning method and proposes a solution that can prevent shortcuts by forcing the model to use more data in its ...