{"id":"W1539721984","doi":"10.1002/pds.2317","title":"A systematic review of validated methods for identifying atrial fibrillation using administrative data","year":2012,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":339,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Heart, Lung, and Blood Institute; U.S. Food and Drug Administration; Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Medicine; Diagnosis code; Atrial fibrillation; Electronic data; Predictive value; Pharmacoepidemiology; Data mining; Information retrieval; Internal medicine; Computer science; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6366991319090419,"score_gpt":0.622531555804809,"score_spread":0.01416757610423292,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}