According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
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 ...
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