Development and Validation of an Interpretable Machine Learning Model Based on Routine Blood Biomarkers: For Predicting Age-Related Hearing Loss.

Diagnostics (Basel) · 2026 · PMC13360200 · PMID 42449808

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highly significantno p-value reported

In addition to the highly significant differences in age and hearing thresholds, multiple metabolic-related indicators (such as HbA1c, blood glucose, uric acid, and triglycerides) and inflammatory-immune indicators (such as lymphocyte and monocyte ratios) also exhibited significant intergroup differences.

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