Predicting postoperative nausea and vomiting with the application of an artificial neural network

British Journal of Anaesthesia

Volumn 98, Issue 1, 2007, Pages 60-65

  Peng, Shih Yen ^a,d   Wu, K C ^b   Wang, J J ^b   Chuang, J H ^c   Peng, S K ^a   Lai, Y H ^b  

^a TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^b SHIN KONG WU HO SU MEMORIAL HOSPITAL   (Taiwan)

^c NATIONAL YANG MING UNIVERSITY   (Taiwan)

^d NONE   (Taiwan)

Author keywords

Measurement techniques, artificial neural network, Na ve Bayesian classifier, Koivuranta score; PONV

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CHI SQUARE TEST; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; FEMALE; GENERAL ANESTHESIA; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; POSTOPERATIVE NAUSEA AND VOMITING; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURGICAL TECHNIQUE; VALIDATION PROCESS;

EID: 33845444754     PISSN: 00070912     EISSN: 14716771     Source Type: Journal    
DOI: 10.1093/bja/ael282     Document Type: Article

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