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 ...
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 ...
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 ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...
Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
Researchers evaluated whether accelerometer-derived sleep-wake characteristics can enhance dementia risk prediction models in older adults.
A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
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