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. Vol. 54, no. 1, p. 3000605251411752-3000605251411752. DOI 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, 3000605251411752-3000605251411752. 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, 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 54:3000605251411752-3000605251411752. https://doi.org/10.1177/03000605251411752

Ridwan AM/ 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 2026, 3000605251411752-3000605251411752.