WCN23-0660 ESKD RISK PREDICTION MODEL IN MULTICENTER CKD COHORT IN CHINA: A DERIVATION, VALIDATION, AND COMPARISON STUDY
نویسندگان
چکیده
In light of the growing burden CKD (Chronic Kidney Disease), it is particular importance to us create disease prediction models that will assist healthcare providers in identifying cases individual risk and integrate risk-based care for progress management. The objective was develop validate a new pragmatic ESKD (End-Stage Disease) utilizing Cox (Cox proportional hazard) ML (machine learning).
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ژورنال
عنوان ژورنال: Kidney International Reports
سال: 2023
ISSN: ['2468-0249']
DOI: https://doi.org/10.1016/j.ekir.2023.02.487