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Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study

BACKGROUND: CKD is a heterogeneous condition with multiple underlying causes, risk factors, and outcomes. Subtyping CKD with multidimensional patient data holds the key to precision medicine. Consensus clustering may reveal CKD subgroups with different risk profiles of adverse outcomes. METHODS: We...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:J Am Soc Nephrol
Main Authors: Zheng, Zihe, Waikar, Sushrut S., Schmidt, Insa M., Landis, J. Richard, Hsu, Chi-yuan, Shafi, Tariq, Feldman, Harold I., Anderson, Amanda H., Wilson, Francis P., Chen, Jing, Rincon-Choles, Hernan, Ricardo, Ana C., Saab, Georges, Isakova, Tamara, Kallem, Radhakrishna, Fink, Jeffrey C., Rao, Panduranga S., Xie, Dawei, Yang, Wei
פורמט: Artigo
שפה:Inglês
יצא לאור: American Society of Nephrology 2021
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC7920178/
https://ncbi.nlm.nih.gov/pubmed/33462081
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2020030239
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