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Assessing Predictors of Early and Late Hospital Readmission after Kidney Transplantation
Julien Hogan
, Michael D. Arenson
, Sandesh M. Adhikary
, Kevin Li
, Xingyu Zhang
, Rebecca Zhang
, Jeffrey N. Valdez
, Raymond J. Lynch
, Jimeng Sun
,
Andrew B. Adams
, Rachel E. Patzer
Research output
:
Contribution to journal
›
Article
›
peer-review
28
Scopus citations
Overview
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Keyphrases
Readmission
100%
Kidney Transplantation
100%
Hospital Readmission
100%
Risk Factors
27%
Kidney Transplant Recipients
18%
Predictive Models
18%
High Risk
9%
Prediction Accuracy
9%
United States Renal Data System (USRDS)
9%
Hospitalization
9%
Design Intervention
9%
Demographic Factors
9%
Socioeconomic Factors
9%
Weak Predictors
9%
Donor Characteristics
9%
Time Model
9%
Recipient Characteristics
9%
Random Forest Regression
9%
Nursing and Health Professions
Hospital Readmission
100%
Kidney Transplantation
100%
Kidney Graft
14%
Random Forest
7%