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Zi-Han Nan

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BMJ Open|January 29, 2025
Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort studyCong-Cong Zhao, Zi-Han Nan, Bo Li, et al.
Journal of Multidisciplinary Healthcare|September 11, 2025
Predicting 28-Day Mortality in Critically Ill Patients Receiving Continuous Renal Replacement Therapy: A Novel Interpretable Machine Learning ApproachTao Zhang, Zi-Han Nan, Xiao-Xuan Fan, et al.
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Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
BMJ Open|January 29, 2025
Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort studyCong-Cong Zhao, Zi-Han Nan, Bo Li, et al.
Journal of Multidisciplinary Healthcare|September 11, 2025
Predicting 28-Day Mortality in Critically Ill Patients Receiving Continuous Renal Replacement Therapy: A Novel Interpretable Machine Learning ApproachTao Zhang, Zi-Han Nan, Xiao-Xuan Fan, et al.
Pageof 1