Author

Z. Yilmaz

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Open access Sep 2026

Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection

This exploratory analysis showed that targeted NanoString immune-response profiles contained a compact transcriptomic signal capable of distinguishing COVID-19 from healthy-control measurements within the analyzed dataset, providing proof-of-concept evidence of internal measurement-level discrimination.

Z. Yilmaz, Z. Kucukakcali, Sami Akbulut · Viruses · 0 citations

Open access Sep 2026

Tree-Based Machine Learning for Diagnostic Classification of Dengue Fever Using Routine Hematological Parameters: A Secondary Analysis of a Publicly Available Dataset

Tree-based machine-learning models for dengue classification showed moderate discrimination, with high sensitivity but limited specificity, and yielded numerically higher AUROCs and lower Brier scores than the primary SMOTE-trained LR within this internal-validation framework.

Z. Yilmaz, Z. Kucukakcali, Sami Akbulut · Diagnostics · 0 citations