Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
News-Medical.Net on MSN
Common blood signals explain why chronic diseases cluster as we age
This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback