Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

ABSTRACT: This paper investigates the determinants of three-year Treasury Bond yields in the WAEMU region—a maturity frequently used in sovereign debt auctions. The methodological framework combines ...

President Donald Trump’s 2024 victory rested on support from voters who are less engaged with politics, an assessment of the election based on newly available voter file data confirms, as Democratic ...

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Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

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This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

This course aims to provide an introduction to both supervised and unsupervised methodologies for prediction modelling with a focus on biomedical applications, molecular epidemiology and personalised ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. For the next four years, big data analytics is expected to be ...

If you have a child who has been diagnosed with a spectrum disorder like autism, your pediatrician may have suggested a therapy called applied behavior analysis. Sometimes called ABA therapy, it’s ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...