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.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

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

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

In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

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

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...