In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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 ...
Think tank IMPI defends its 14% inflation forecast, citing data-driven analysis of economic reforms and a predictive ...
A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
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