Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...

Earlier this week I was asked to reshape data in Power Automate. Having an array of data that needs to be reshaped just sot ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

The way central bankers put their objectives into practice is influenced by the star variables. Specifying a target for ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Abstract: Accurate prediction of quality variables that are difficult to measure is crucial for industrial process control and optimization. However, the fluctuations in raw material quality and ...

Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...

1 MRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK 2 MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, ...

Abstract: In real-world industrial scenarios, production equipment and process systems usually operate under variable working conditions, and abnormal/faulty samples are hard to collect, bringing ...