Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...
A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.
Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
Machine learning can predict the risk for developing asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.
In people with Type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
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Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidence
Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...
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