Development of an immunoinflammatory indicator-related dynamic nomogram based on machine learning for the prediction of intravenous immunoglobulin-resistant Kawasaki disease patients.

MLA

Wang, Yue, et al. “Development of an Immunoinflammatory Indicator-Related Dynamic Nomogram Based on Machine Learning for the Prediction of Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients.” International Immunopharmacology, vol. 134, June 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.intimp.2024.112194.

APA

Wang, Y., Cao, Y., Li, Y., Zhu, F., Yuan, M., Xu, J., Ma, X., & Li, J. (2024). Development of an immunoinflammatory indicator-related dynamic nomogram based on machine learning for the prediction of intravenous immunoglobulin-resistant Kawasaki disease patients. International Immunopharmacology, 134, N.PAG. https://doi.org/10.1016/j.intimp.2024.112194

Chicago

Wang, Yue, Yinyin Cao, Yang Li, Fenhua Zhu, Meifen Yuan, Jin Xu, Xiaojing Ma, and Jian Li. 2024. “Development of an Immunoinflammatory Indicator-Related Dynamic Nomogram Based on Machine Learning for the Prediction of Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients.” International Immunopharmacology 134 (June): N.PAG. doi:10.1016/j.intimp.2024.112194.