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Emre Söylemez

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Open access Aug 2026

Machine Learning‐Based Risk Stratification Tool for Hearing Loss in High‐Risk Neonates

Machine learning models, particularly XGBoost, provide robust risk stratification for high-risk neonates and can complement existing programs by identifying high-risk infants who require prioritized diagnostic follow-up and closer clinical monitoring.

Sevgi Kutlu, Emre Söylemez, Betül Temir et al. · 0 citations

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