Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...
Kidney function during the second trimester may be associated with adverse pregnancy outcomes for women with lupus, particularly for women with lupus nephritis, according to study findings published ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Early-pregnancy home blood pressure patterns reveal that even small cumulative elevations, not just high averages, raise the ...
Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...
Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...
Among ICU patients with cirrhosis and sepsis, a high lactate-to-hematocrit ratio predicted short- and long-term mortality.
A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
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