Predictive models of prolonged stay after coronary artery bypass surgery

ICSSBE 2012 - Proceedings, 2012 International Conference on Statistics in Science, Business and Engineering: "Empowering Decision Making with Statistical Sciences"

Volumn , Issue , 2012, Pages 104-108

  Khairudin, Zuraida ^a   Mohd, Norzila ^a   Hamid, Harizal ^b  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

^b Universiti Industri Selangor   (Malaysia)

Author keywords

CABG; decision tree; logistic regression; prolonged stay

Indexed keywords

ATRIAL FIBRILLATION; CABG; CARDIAC SURGERY; CORONARY ARTERY BYPASS GRAFT; CORONARY ARTERY BYPASS SURGERY; DECISION TREE MODELS; DIABETES MELLITUS; HEALTH STATUS; HEART SURGERY; LENGTH OF STAY; LOGISTIC MODELS; LOGISTIC REGRESSIONS; MALAYSIA; PREDICTIVE ACCURACY; PREDICTIVE MODELS; PROLONGED STAY; RISK FACTORS;

CARDIOVASCULAR SURGERY; DECISION TREES; DISEASES; HOSPITALS; LOGISTICS; REGRESSION ANALYSIS;

DECISION MAKING;

EID: 84872973775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSSBE.2012.6396536     Document Type: Conference Paper

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