As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a safeguard and a growth catalyst.

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...

A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...

Main opportunities in predictive analytics for healthcare involve leveraging AI and machine learning to improve patient ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.