Comment on Iacobescu et al. Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities. J. Cardiovasc. Dev. Dis. 2024, 11, 396. [PDF]
Eltawil M +5 more
europepmc +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
Are you bothered? Assessing the association between symptoms and botheredness using real-world data to help improve mental health services. [PDF]
Carey TA.
europepmc +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
Flight delay prediction: Evaluating machine learning algorithms for enhanced accuracy. [PDF]
AlBassam SAA, AlShahrani DN.
europepmc +1 more source
ABSTRACT This study presents a high‐throughput ion mobility approach that integrates flow injection analysis (FIA) with multiple stitched high‐resolution ion mobility ranges to enable comprehensive analysis of human milk oligosaccharide (HMO) isomer mixtures in a single acquisition.
Wenqing Xu +5 more
wiley +1 more source
Interpreting Modulation Transfer Function in Endoscopic Imaging: Spatial-Frequency Conversion Across Imaging Spaces and the Digital Image Domain with Case Studies. [PDF]
Wang Q.
europepmc +1 more source
ABSTRACT In today's polarized sociopolitical climate, diversity, equity, and inclusion (DEI) efforts increasingly face backlash, with equity in particular becoming marginalized in both scholarly and practitioner discourse despite its central importance for ensuring fair allocation of opportunities and resources across the employee lifecycle.
Tiffany M. Trzebiatowski +2 more
wiley +1 more source
Integration of unpaired and heterogeneous clinical flow cytometry data. [PDF]
Phuycharoen M +7 more
europepmc +1 more source
Rural–Urban Digital Divide: Evidence From Indian States
ABSTRACT The Indian economy has achieved significant progress in recent years, with the country expected to contribute about 16% of the global growth. However, at the sub‐national level, economic development has been quite disparate over the decades, with widening inequality between the richer western and southern states and other parts of the country.
Rashmi Arora, Nikhil Sapre
wiley +1 more source

