Taber, David J <br/><br/>
Inclusion of dynamic clinical data improves the predictive performance of a 30-day readmission risk model in kidney transplantation.  [electronic resource] 

 -  Transplantation  Feb 2015 
 - 324-30 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural 
<br/><br/><label>ISSN: </label>1534-6080 
<br/><br/><label>Standard No.: </label>10.1097/TP.0000000000000565  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Aged<br/>Area Under Curve<br/>Biomarkers--blood<br/>Blood Pressure<br/>Cross-Sectional Studies<br/>Decision Support Techniques<br/>Female<br/>Health Care Costs<br/>Humans<br/>Immunosuppressive Agents--therapeutic use<br/>Kidney Transplantation--adverse effects<br/>Length of Stay<br/>Linear Models<br/>Logistic Models<br/>Male<br/>Middle Aged<br/>Multivariate Analysis<br/>Patient Readmission--economics<br/>Postoperative Complications--diagnosis<br/>Predictive Value of Tests<br/>ROC Curve<br/>Reproducibility of Results<br/>Retrospective Studies<br/>Risk Assessment<br/>Risk Factors<br/>Time Factors<br/>Treatment Outcome