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 ...
The image shows the proposed IoT-enabled real-time building fire detection system, integrating MQ-2 smoke sensing, DHT11 temperature and humidity sensing, NodeMCU ESP8266 control, relay-based alarm ...
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.
Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.
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 ...
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 ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
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