Abstract: Focusing on multidimensional data analysis, this study applies a variety of machine learning algorithms for an in-depth exploration of decision preferences and influencing factors. A ...

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 ...

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

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...

Vitalik ZK-proofs help make platforms like X fair and secure by verifying algorithm decisions with timestamps and controlled code release. Summary is AI generated, newsroom reviewed. Vitalik urges ...

Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...

David Spade slammed a mall's tree-lighting ceremony for omitting the word "Christmas." In the Sunday episode of Spade and Dana Carvey's "Fly on the Wall" podcast, the 61-year-old "Grown Ups" actor ...

Abstract: In the practical application of machine learning, the opaqueness of models often poses significant challenges. While decision trees are known for balancing representability with ...