Interpretable Bayesian Model Spots Dengue from Routine Blood Counts in Bangladesh
A proof-of-concept study in Bangladesh shows a Tree-Augmented Naive Bayes model using routine complete blood count data detected dengue with ...
A proof-of-concept study in Bangladesh shows a Tree-Augmented Naive Bayes model using routine complete blood count data detected dengue with ...
Researchers in Chennai show that modified reverse degree graph descriptors, bond-wise entropy, and regression models can accurately predict graph energy ...
A stacked explainable machine learning model combining ultrasound features and Raman spectra from fine-needle aspirates achieved an AUC of about ...
A new AI model fusing EEG, eye tracking, and physiological signals predicted people's ratings of car cockpit designs with high ...
A study of 474 Brazilian knee radiographs found that a tibial plateau measurement predicted sex with about 80 percent accuracy ...
A hybrid TabNet and FT-Transformer model classified sports event security risk levels with 99.53% accuracy on a 40,000-record Kaggle dataset, ...
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic preprocessing, achieved ...
An acoustic-only machine-learning pipeline distinguished mild-to-moderate Alzheimer's disease from healthy controls with up to 90.4% mean accuracy across English and ...
A retrospective study of 92 patients found that quantitative diffusion and perfusion MRI parameters distinguished MYD88/CD79B co-mutated primary CNS lymphoma ...
Radar time-series features from Sentinel-1 lifted land-cover classification in India's cloud-prone Cauvery Delta to 72 percent accuracy, with simple logistic ...
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© 2025 Scienmag - Science Magazine