APA (7th ed.) Citation

Huang, L., Shea, A. L., Qian, H., Masurkar, A., Deng, H., & Liu, D. (2019). Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. Journal of biomedical informatics, 99, 103291. https://doi.org/10.1016/j.jbi.2019.103291

Chicago Style (17th ed.) Citation

Huang, Li, Andrew L. Shea, Huining Qian, Aditya Masurkar, Hao Deng, and Dianbo Liu. "Patient Clustering Improves Efficiency of Federated Machine Learning to Predict Mortality and Hospital Stay Time Using Distributed Electronic Medical Records." Journal of Biomedical Informatics 99 (2019): 103291. https://doi.org/10.1016/j.jbi.2019.103291.

MLA (9th ed.) Citation

Huang, Li, et al. "Patient Clustering Improves Efficiency of Federated Machine Learning to Predict Mortality and Hospital Stay Time Using Distributed Electronic Medical Records." Journal of Biomedical Informatics, vol. 99, 2019, p. 103291, https://doi.org/10.1016/j.jbi.2019.103291.