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 ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
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 ...
Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
An update to the markets of Jonathan David has led experts to update predictions and odds for the Canada-Morocco Round of 16 match on Saturday, July 4, 2026.
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