Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

A virtual data room has always solved one problem: secure document sharing. What it never solved was the reading. A ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.