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

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Background Peripheral venous catheters (PVCs) are ubiquitous in hospitals, yet phlebitis remains common despite ...

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...

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 ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

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

In this study, researchers aimed to determine whether younger BRCA1/2 carriers who undergo oophorectomy can receive menopausal hormone therapy without increasing their risk of breast cancer.

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...