Experts from government, industry and academia gathered Thursday to discuss ways to raise the value of national statistics ...

Interrupted time-series signals showed exacerbations increased before 2015 but dropped sharply after 2015 and continued ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

1. Concept Introduction Handling numeric data is the mathematical core of feature engineering. While raw numbers might seem immediately ingestible by machine learning algorithms, their native ...

In patients with acute ischaemic stroke due to anterior-circulation large-vessel occlusion achieving successful reperfusion, ...

Background Improvement science has supported the methodological foundations for the application of quality improvement (QI) ...

Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...

Abstract: Dependent degradation processes of performance characteristics are ubiquitous in engineered systems. The initial state of each degradation process is usually random and relates to the ...

Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...

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