Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

It’s Christmas 1981. You’ve got the Radio Times and you’ve been through it in advance to circle what you want to watch. Telly ...

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.

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

Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as a tool for developing complex ...

Magna Mining Inc. (TSXV: NICU) (OTCQX: MGMNF) (FSE: 8YD) (“Magna” or the “Company”) is pleased to announce that Technica ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...