APA (7th ed.) Citation

ZF, J., ZY, K., M, W., JB, F., & YB, Z. (2026). A highly interpretable machine learning model for predicting lung cancer bone metastasis: Uncovering the synergistic effect of routine biochemical markers. Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico. https://doi.org/10.1007/s12094-026-04476-5

Chicago Style (17th ed.) Citation

ZF, Jiang, Ke ZY, Wang M, Fu JB, and Zhang YB. "A Highly Interpretable Machine Learning Model for Predicting Lung Cancer Bone Metastasis: Uncovering the Synergistic Effect of Routine Biochemical Markers." Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico 2026. https://doi.org/10.1007/s12094-026-04476-5.

MLA (9th ed.) Citation

ZF, Jiang, et al. "A Highly Interpretable Machine Learning Model for Predicting Lung Cancer Bone Metastasis: Uncovering the Synergistic Effect of Routine Biochemical Markers." Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026, https://doi.org/10.1007/s12094-026-04476-5.