Zhang, R., Xiao, Q., Zhu, S., Lin, H., & Tang, M. (2022). Using different machine learning models to classify patients into mild and severe cases of COVID‐19 based on multivariate blood testing. Journal of medical virology, 94(1), 357-365. https://doi.org/10.1002/jmv.27352
Chicago Style (17th ed.) CitationZhang, Rui‐kun, Qi Xiao, Sheng‐lang Zhu, Hai‐yan Lin, and Ming Tang. "Using Different Machine Learning Models to Classify Patients into mild and Severe Cases of COVID‐19 Based on Multivariate Blood Testing." Journal of Medical Virology 94, no. 1 (2022): 357-365. https://doi.org/10.1002/jmv.27352.
MLA (9th ed.) CitationZhang, Rui‐kun, et al. "Using Different Machine Learning Models to Classify Patients into mild and Severe Cases of COVID‐19 Based on Multivariate Blood Testing." Journal of Medical Virology, vol. 94, no. 1, 2022, pp. 357-365, https://doi.org/10.1002/jmv.27352.