Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
IEEE

On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild

Abstract: Texture recognition is a challenging visual task since its multiple primitives or attributes can be perceived from the texture image under different spatial contexts. Existing approaches ...
jech.bmj

Systems science methods in public health: what can they contribute to our understanding of and response to the cost-of-living crisis?

Correspondence to Dr Andreas Höhn, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8TB, UK; andreas.hoehn{at}glasgow.ac.uk Background Many complex public health ...
Insurancenewsnet.com

Study Results from Johnson & Johnson Broaden Understanding of Chronic Disease (Patient Perspectives on Health Insurance Design: A Mixed-Methods Analysis): Disease Attributes ...

2025 DEC 09 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Investigators discuss new findings in Disease Attributes - Chronic Disease. According to news reporting ...
IEEE

Exploring the Impact of Alternatives of Object-Oriented Cohesion Measures on Machine Learning-Based Predictions of Inheritance Reusability

Abstract: The cohesion of an object-oriented class refers to the relatedness of its methods and attributes. Constructors, destructors, and access methods are special types of methods featuring unique ...