APA (7th ed.) Citation

Borhan, S., Papaioannou, A., Adachi, J., Acharya, S., Morin, S. N., Goltzman, D., . . . Raina, P. (2026). An explainable machine learning approach to predict fragility fractures and the identification of important features. Scientific Reports, 16(1), 1. https://doi.org/10.1038/s41598-026-49494-z

Chicago Style (17th ed.) Citation

Borhan, Sayem, et al. "An Explainable Machine Learning Approach to Predict Fragility Fractures and the Identification of Important Features." Scientific Reports 16, no. 1 (2026): 1. https://doi.org/10.1038/s41598-026-49494-z.

MLA (9th ed.) Citation

Borhan, Sayem, et al. "An Explainable Machine Learning Approach to Predict Fragility Fractures and the Identification of Important Features." Scientific Reports, vol. 16, no. 1, 2026, p. 1, https://doi.org/10.1038/s41598-026-49494-z.