Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
Tropical forests are the most biodiverse ecosystems on Earth and play a critical role in climate regulation, carbon storage, and the maintenance of ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback