APA (7th ed.) Citation

Huang, X., Chen, Y., Li, T., Ge, L., Yang, L., Peng, T., . . . Wang, M. (2025). A practical and explainable machine learning model based on conventional clinical features for predicting mortality in patients with sepsis. Anesthesiology & Perioperative Science, 3(4), 1. https://doi.org/10.1007/s44254-025-00157-8

Chicago Style (17th ed.) Citation

Huang, Xintong, Yingxu Chen, Tongda Li, Lisirui Ge, Lu Yang, Tao Peng, Guangxiang Chen, and Maohua Wang. "A Practical and Explainable Machine Learning Model Based on Conventional Clinical Features for Predicting Mortality in Patients with Sepsis." Anesthesiology & Perioperative Science 3, no. 4 (2025): 1. https://doi.org/10.1007/s44254-025-00157-8.

MLA (9th ed.) Citation

Huang, Xintong, et al. "A Practical and Explainable Machine Learning Model Based on Conventional Clinical Features for Predicting Mortality in Patients with Sepsis." Anesthesiology & Perioperative Science, vol. 3, no. 4, 2025, p. 1, https://doi.org/10.1007/s44254-025-00157-8.