ISSN 2575-6206
Vol. 10, Issue 2, 2026May 13, 2026 CDT
Predictive overlap, feature reduction, and robustness in Machine Learning-based cross-sectional classification of Alzheimer’s disease
Predictive overlap, feature reduction, and robustness in Machine Learning-based cross-sectional classification of Alzheimer’s disease
Articles in Vol. 10, Issue 2, 2026
Vol. 10, Issue 2, 2026
- Efficient language identification in monolingual and multilingual documentsMaxime Sobrier
- A reproducible Burridge–Knopoff spring–block toy model with explicit numerical diagnostics for stick–slip dynamicsMosu Jun
- Structural equivalence and novelty in constrained tiling sequences: A computational classification frameworkLeo Zhang
- ToeFro-Varus: A wearable IMU-based system for automated physiotherapy exercise classification and gamified feedback in pediatric clubfoot rehabilitationVarun NadkarniSankar Balasubramanian
- Rethinking sex differences in adolescent sports injuries: Distinguishing injury distribution from per-participant riskEllie Kong
- Descriptive imaging analysis of Glioblastoma-associated vascular morphology in a single murine brain sliceChaeun Kim
- Who gets heard From the Top? A longitudinal study of access and representation in elite youth classical musicLaetitia Ji
- _In Silico_ optimization of time-dependent motility and proliferation control for wound closure: a hybrid Fisher–KPP and force-based agent modelCheng M Sun
- Noise-dependent limits of dynamical decoupling: fidelity and variance dynamics in single-qubit systemsEli Kim
- A scaling-parameter framework for perimeter and area in self-similar planar fractalsPedro Marotta
- Beyond normality: comparative tail-risk analysis of S&P 500 returnsCharles Chen
- Recent advances in hepatic tissue engineering for the treatment of liver diseaseHayley Foo
- Contrasting urban and natural soundscapes: implications for child development, cognitive functioning, and physical and mental healthSophie Y Huang
- Instability as insight: reinterpreting learning dynamics in repeated games through bounded rationalityPratyush Mahadevaiah
- Predictive overlap, feature reduction, and robustness in Machine Learning-based cross-sectional classification of Alzheimer’s diseaseMatthew Xia
- Evaluating exercise-induced changes in BDNF and cognitive development in children and adolescents: A multi-pathway operationalized frameworkAnnabelle J KimSally Zeidan
- Beyond nature and nurture: a context-dependent, mechanism-specific framework for altruismEthan Choi
- Restoring grokking under structured label noise: audit efficiency and optimization-history dependenceDylan Ashraf
- Artistic expertise and multidimensional aesthetic engagement across four impressionist, expressionist, cubist, and surrealist paintingsLaila Mogassbi
- Nonthermal locoregional therapies for liver cancer: identifying evidence gaps and a proposed research trajectoryAnaya Patel
Xia, Matthew. 2026. “Predictive Overlap, Feature Reduction, and Robustness in Machine Learning-Based Cross-Sectional Classification of Alzheimer’s Disease.” Journal of High School Science 10 (2): 243–74. https://doi.org/10.64336/001c.162155.