Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...
SHENZHEN, GUANGDONG, CHINA, January 9, 2026 /EINPresswire.com/ -- Shenzhen Senghor Sea & Air Logistics Co., Ltd., a ...
Background Aortic stenosis (AS) frequently coexists with heart failure (HF), but its prevalence, prognostic impact and management across the full HF spectrum remain incompletely characterised. Methods ...
Objectives To estimate the population-level incidence of emergency department (ED) visits for violent behaviour, identify associated factors and quantify the contribution of people presenting to ED ...
Conclusions This study suggests that a decrease in positive leadership behaviours has a hazardous effect on workers’ level of ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
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