Ridwan AM und Mohi Uddin KM (2026) „Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations.“, The Journal of international medical research, 54(1), S. 3000605251411752-3000605251411752. doi:10.1177/03000605251411752.

Ridwan AM, und Mohi Uddin KM. „Explainable Machine Learning for Early Diagnosis of Esophageal Cancer: A Feature-Enriched Light Gradient Boosting Machine Framework With Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations Interpretations.“. The Journal of International Medical Research 54, Nr. 1 (1. Januar 2026): 3000605251411752-52. https://doi.org/10.1177/03000605251411752.

Ridwan AM, & Mohi Uddin KM. (2026). Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. The Journal of International Medical Research, 54(1), 3000605251411752-3000605251411752. https://doi.org/10.1177/03000605251411752

Ridwan AM, und Mohi Uddin KM. „Explainable Machine Learning for Early Diagnosis of Esophageal Cancer: A Feature-Enriched Light Gradient Boosting Machine Framework With Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations Interpretations.“. The Journal of International Medical Research, Bd. 54, Nr. 1, Januar 2026, S. 3000605251411752-, https://doi.org/10.1177/03000605251411752.

RIDWAN AM und MOHI UDDIN KM, 2026. Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. The Journal of international medical research. 1 Januar 2026. Bd. 54, Nr. 1, S. 3000605251411752-3000605251411752. DOI 10.1177/03000605251411752