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.
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 ...
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 ...
The initiative aims to address the growing threat of floods, which claim lives and displace lakhs of people due to flash ...
Researchers at IIT Bombay have developed an AI-based system that can predict flood-prone areas and estimate water depth using ...
The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...
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