APA (7th ed.) Citation

Min, K., Cheng, Z., Liu, J., Fang, Y., Wang, W., Yang, Y., . . . Wang, C. (2023). Early‐stage predictors of deterioration among 3145 nonsevere SARS‐CoV‐2‐infected people community‐isolated in Wuhan, China: A combination of machine learning algorithms and competing risk survival analyses. Journal of evidence-based medicine, 16(2), 166-177. https://doi.org/10.1111/jebm.12529

Chicago Style (17th ed.) Citation

Min, Kaiyuan, et al. "Early‐stage Predictors of Deterioration Among 3145 Nonsevere SARS‐CoV‐2‐infected People Community‐isolated in Wuhan, China: A Combination of Machine Learning Algorithms and Competing Risk Survival Analyses." Journal of Evidence-based Medicine 16, no. 2 (2023): 166-177. https://doi.org/10.1111/jebm.12529.

MLA (9th ed.) Citation

Min, Kaiyuan, et al. "Early‐stage Predictors of Deterioration Among 3145 Nonsevere SARS‐CoV‐2‐infected People Community‐isolated in Wuhan, China: A Combination of Machine Learning Algorithms and Competing Risk Survival Analyses." Journal of Evidence-based Medicine, vol. 16, no. 2, 2023, pp. 166-177, https://doi.org/10.1111/jebm.12529.