Application of diagnostic classification algorithms to identify the most common causes of post-transplant complications.

Clinical transplants

Volumn , Issue , 2005, Pages 57-67

  Machnicki, Gerardo ^a   Pinsky, Brett ^a   Takemoto, Steven ^a   Lentine, Krista ^a   Willoughby, Lisa ^a   Bunnapradist, Suphamai ^a   Burroughs, Thomas ^a   Schnitzler, Mark A ^a  

^a SAINT LOUIS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE DISTRIBUTION; ALGORITHM; ALLOTRANSPLANTATION; ARTICLE; CAUSE OF DEATH; CHRONIC KIDNEY FAILURE; DIAGNOSIS RELATED GROUP; DONOR; ETHNIC GROUP; FEMALE; HUMAN; KIDNEY TRANSPLANTATION; LENGTH OF STAY; MALE; POSTOPERATIVE COMPLICATION; RACE; RETROSPECTIVE STUDY; STATISTICS; UNITED STATES;

AGE DISTRIBUTION; ALGORITHMS; CAUSE OF DEATH; CONTINENTAL POPULATION GROUPS; DIAGNOSIS-RELATED GROUPS; ETHNIC GROUPS; FEMALE; HUMANS; KIDNEY FAILURE, CHRONIC; KIDNEY TRANSPLANTATION; LENGTH OF STAY; MALE; POSTOPERATIVE COMPLICATIONS; RETROSPECTIVE STUDIES; TISSUE DONORS; TRANSPLANTATION, HOMOLOGOUS; UNITED STATES;

EID: 34249729446     PISSN: 08909016     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)