APA (7th ed.) Citation

Ning, Y., Li, S., Ong, M. E. H., Xie, F., Chakraborty, B., Ting, D. S. W., & Liu, N. (2022). A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study.

Chicago Style (17th ed.) Citation

Ning, Yilin, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, and Nan Liu. A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in a Retrospective Cohort Study. 2022.

MLA (9th ed.) Citation

Ning, Yilin, et al. A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in a Retrospective Cohort Study. 2022.