APA (7th ed.) Citation

OuYang, C., He, H., & Lin, Z. (2026). Identification of potential biological targets in sepsis based on random forest and artificial neural network models. Journal of Infection in Developing Countries, 20(4), 537. https://doi.org/10.3855/jidc.21442

Chicago Style (17th ed.) Citation

OuYang, Chenghong, Huiwei He, and Zhiying Lin. "Identification of Potential Biological Targets in Sepsis Based on Random Forest and Artificial Neural Network Models." Journal of Infection in Developing Countries 20, no. 4 (2026): 537. https://doi.org/10.3855/jidc.21442.

MLA (9th ed.) Citation

OuYang, Chenghong, et al. "Identification of Potential Biological Targets in Sepsis Based on Random Forest and Artificial Neural Network Models." Journal of Infection in Developing Countries, vol. 20, no. 4, 2026, p. 537, https://doi.org/10.3855/jidc.21442.