1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...

A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...

This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...

A team of researchers developed an artificial intelligence algorithm that predicts potential hypotension — or abnormally low blood pressure — onset during surgery, according to a study published in ...

A smartwatch used a machine learning algorithm to detect social interactions through sounds in the environment. This ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...