Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP.

MLA

Alabi, Rasheed Omobolaji, et al. “Machine Learning Explainability in Nasopharyngeal Cancer Survival Using LIME and SHAP.” Scientific Reports, vol. 13, no. 1, June 2023, pp. 1–14. EBSCOhost, https://doi.org/10.1038/s41598-023-35795-0.

APA

Alabi, R. O., Elmusrati, M., Leivo, I., Almangush, A., & Mäkitie, A. A. (2023). Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP. Scientific Reports, 13(1), 1–14. https://doi.org/10.1038/s41598-023-35795-0

Chicago

Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush, and Antti A. Mäkitie. 2023. “Machine Learning Explainability in Nasopharyngeal Cancer Survival Using LIME and SHAP.” Scientific Reports 13 (1): 1–14. doi:10.1038/s41598-023-35795-0.