A random forest based risk model for reliable and accurate prediction of receipt of transfusion in patients undergoing percutaneous coronary intervention

PLoS ONE

Volumn 9, Issue 5, 2014, Pages

  Gurm, Hitinder S ^a   Kooiman, Judith ^b   LaLonde, Thomas ^c   Grines, Cindy ^d   Share, David ^e   Seth, Milan ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^c St John Providence Health System   (United States)

^d DETROIT MEDICAL CENTER   (United States)

^e Blue Cross Blue Shield of Michigan Cardiovascular Consortium   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FIBRINOGEN RECEPTOR ANTAGONIST; HEPARIN; HIRULOG;

ADULT; ALGORITHM; ANTICOAGULANT THERAPY; ARTICLE; BLOOD TRANSFUSION; FEMALE; HIGH RISK PATIENT; HUMAN; INTERMEDIATE RISK PATIENT; LOW RISK PATIENT; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; PERCUTANEOUS CORONARY INTERVENTION; PREDICTION; RANDOM FOREST; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; UNITED STATES; VASCULAR ACCESS; AGED; COHORT ANALYSIS; MIDDLE AGED; OUTCOME ASSESSMENT; PROCEDURES; REPRODUCIBILITY; RISK FACTOR; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL;

AGED; BLOOD TRANSFUSION; COHORT STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; OUTCOME ASSESSMENT (HEALTH CARE); PERCUTANEOUS CORONARY INTERVENTION; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS;

EID: 84901189302     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0096385     Document Type: Article

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