Machine learning-based prognostic model for in-hospital mortality of aortic dissection: insights from an intensive care medicine perspective
Faculty Advisor
Date
2024
Keywords
aortic dissection, in-hospital mortality, machine learning, blood pressure, fluid balance
Abstract (summary)
Aortic dissection (AD) is a severe emergency with high morbidity and mortality, necessitating strict monitoring and management. This retrospective study aimed to identify prognostic factors and establish predictive models for in-hospital mortality among AD patients in the intensive care unit (ICU).
Publication Information
Lei, J., Zhang, Z., Li, Y., Wu, Z., Pu, H., Xu, Z., Yang, X., Hu, J., Liu, G., Qiu, P., Chen, T., & Lu, X. (2024). Machine learning-based prognostic model for in-hospital mortality of aortic dissection: Insights from an intensive care medicine perspective. Digital Health, 10. https://doi.org/10.1177/20552076241269450
Notes
Item Type
Article
Language
Rights
Attribution-NonCommercial-NoDerivs (CC BY-NC-ND)
