APA (7th ed.) Citation

L, L., L, W., H, W., H, L., T, L., & S, Y. (2026). Explainable machine learning-based mortality risk stratification for older adults with COVID-19: Pinpointing core immunological biomarkers and revealing dose-threshold effects. Frontiers in immunology, 17, 1789048. https://doi.org/10.3389/fimmu.2026.1789048

Chicago Style (17th ed.) Citation

L, Luo, Wang L, Wang H, Li H, Liu T, and Yu S. "Explainable Machine Learning-based Mortality Risk Stratification for Older Adults with COVID-19: Pinpointing Core Immunological Biomarkers and Revealing Dose-threshold Effects." Frontiers in Immunology 17 (2026): 1789048. https://doi.org/10.3389/fimmu.2026.1789048.

MLA (9th ed.) Citation

L, Luo, et al. "Explainable Machine Learning-based Mortality Risk Stratification for Older Adults with COVID-19: Pinpointing Core Immunological Biomarkers and Revealing Dose-threshold Effects." Frontiers in Immunology, vol. 17, 2026, p. 1789048, https://doi.org/10.3389/fimmu.2026.1789048.