Identifying major hemorrhage with automated data: Results of the Veterans Affairs Study to Improve Anticoagulation (VARIA)

Thrombosis Research

Volumn 131, Issue 1, 2013, Pages 31-36

  Jasuja, Guneet K ^a,b   Reisman, Joel I ^a   Miller, Donald R ^a,b   Berlowitz, Dan R ^a,b,c   Hylek, Elaine M ^a,c   Ash, Arlene S ^a,d   Ozonoff, Al ^a,e   Zhao, Shibei ^a   Rose, Adam J ^a,c  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b BOSTON UNIVERSITY   (United States)

^c BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^e BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

anticoagulants; hemorrhage; methods; outcome assessment

Indexed keywords

AGED; ARTICLE; BLEEDING DISORDER; COLON DIVERTICULOSIS; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; HEMATURIA; HOSPITALIZATION; HUMAN; ICD-9; MAJOR CLINICAL STUDY; MAJOR HEMORRHAGE; MALE; MORTALITY; OBSERVATIONAL STUDY; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); TRANSFUSION;

AGED; ANTICOAGULANTS; AUTOMATION; BLOOD TRANSFUSION; DATA MINING; FEMALE; HEMORRHAGE; HUMANS; INCIDENCE; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; TERMINOLOGY AS TOPIC; TIME FACTORS; TREATMENT OUTCOME; UNITED STATES; UNITED STATES DEPARTMENT OF VETERANS AFFAIRS; WARFARIN;

EID: 84871658718     PISSN: 00493848     EISSN: 18792472     Source Type: Journal    
DOI: 10.1016/j.thromres.2012.10.010     Document Type: Article

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