Predicting adverse outcomes of cardiac surgery with the application of artificial neural networks

Anaesthesia

Volumn 63, Issue 7, 2008, Pages 705-713

  Peng, S Y ^a,b   Peng, S K ^c  

^a National Yang Ming University ^*  (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

^c TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; FEMALE; HEART SURGERY; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORBIDITY; PARSONNET SCORE; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY ANALYSIS; SURGICAL MORTALITY; TREATMENT OUTCOME;

ADULT; AGED; CARDIAC SURGICAL PROCEDURES; EPIDEMIOLOGIC METHODS; FEMALE; HEALTH STATUS INDICATORS; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SEVERITY OF ILLNESS INDEX; TREATMENT OUTCOME;

EID: 44949195717     PISSN: 00032409     EISSN: 13652044     Source Type: Journal    
DOI: 10.1111/j.1365-2044.2008.05478.x     Document Type: Article

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