Jin, W.; Hao, W.; Shi, X.; Fritsche, L.G.; Salvatore, M.; Admon, A.J.; Friese, C.R.; Mukherjee, B.
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. J. Clin. Med. 2023, 12, 7313.
https://doi.org/10.3390/jcm12237313
AMA Style
Jin W, Hao W, Shi X, Fritsche LG, Salvatore M, Admon AJ, Friese CR, Mukherjee B.
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. Journal of Clinical Medicine. 2023; 12(23):7313.
https://doi.org/10.3390/jcm12237313
Chicago/Turabian Style
Jin, Weijia, Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon, Christopher R. Friese, and Bhramar Mukherjee.
2023. "Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm" Journal of Clinical Medicine 12, no. 23: 7313.
https://doi.org/10.3390/jcm12237313
APA Style
Jin, W., Hao, W., Shi, X., Fritsche, L. G., Salvatore, M., Admon, A. J., Friese, C. R., & Mukherjee, B.
(2023). Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. Journal of Clinical Medicine, 12(23), 7313.
https://doi.org/10.3390/jcm12237313