Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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 ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times, disproportionately affecting women and children. Although the magnitude ...

Joe Root had 17 Test 100s in his first 9 years. He has 24 in the last 4. How did he do it? This data-centric long-read details the change in his decisions, tactics and mindset.

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Some requests by reviewers to cite their own publications are coercive and can unnecessarily delay indexation and publication.

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...