Predicting Individual Renal Allograft Outcomes Using Risk Models with 1-Year Surveillance Biopsy and Alloantibody Data.
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Big Data, Predictive Analytics, and Quality Improvement in Kidney Transplantation: A Proof of Concept.An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodiesA Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.Human Kidney Tubule-Specific Gene Expression Based Dissection of Chronic Kidney Disease Traits.
P2860
Predicting Individual Renal Allograft Outcomes Using Risk Models with 1-Year Surveillance Biopsy and Alloantibody Data.
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2016 nî lūn-bûn
@nan
2016 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մարտին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@ast
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@en
type
label
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@ast
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@en
prefLabel
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@ast
Predicting Individual Renal Al ...... Biopsy and Alloantibody Data.
@en
P2093
P2860
P356
P1476
Predicting Individual Renal Al ...... e Biopsy and Alloantibody Data
@en
P2093
Manuel Moreno Gonzales
Mark D Stegall
Richard Borrows
Walter K Kremers
P2860
P304
P356
10.1681/ASN.2015070811
P577
2016-03-09T00:00:00Z