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Author

Tarık Talan

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2 papers indexed here

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Sep 2026

A New Approach in Diabetes Diagnosis: Performance Comparison using Machine Learning Algorithms

According to the International Diabetes Federation (IDF), approximately 589 million adults are expected to be living with diabetes in 2025. This number continues to rise due to unhealthy eating habits and poor quality of life. Early and accurate diagnosis is crucial to prevent organ damage and improve patient outcomes....

Cemal Aktürk, Mustafa Turan Arslan, Tarık Talan · 0 citations
#explainable ai Open access Sep 2026

Predicting and Explaining Economic Losses from Natural Disasters: A Post-Hoc Machine Learning and Explainable AI Approach

The results demonstrate that event-aware validation materially strengthens the methodological reliability of post hoc disaster-loss modelling while highlighting persistent limitations in cross-domain transferability and catastrophic-loss prediction.

Tarık Talan, Teyfik Giray, Adem Korkmaz et al. · 0 citations

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