Population pharmacokinetic and pharmacodynamic models of remifentanil in healthy volunteers using artificial neural network analysis

British Journal of Clinical Pharmacology

Volumn 64, Issue 1, 2007, Pages 3-13

  Kang, S H ^a   Poynton, M R ^b   Kim, K M ^c   Lee, H ^d   Kim, D H ^e   Lee, S H ^f   Bae, K S ^f   Linares, O ^g   Kern, S E ^b   Noh, G J ^f  

^a Inje University   (South Korea)

^b UNIVERSITY OF UTAH   (United States)

^c Inje University College of Medicine   (South Korea)

^d Ewha Womans University School of Medicine   (South Korea)

^e Dankook University College of Medicine   (South Korea)

^f University of Ulsan College of Medicine   (South Korea)

^g University of Utah   (United States)

Author keywords

Electroencephalographic approximate entropy; Neural network model; Ordinary sigmoid Emax model; Remifentanil

Indexed keywords

REMIFENTANIL;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ANALYSIS; COMPUTER PREDICTION; CONFIDENCE INTERVAL; DRUG BLOOD LEVEL; ELECTROENCEPHALOGRAPHY; MATHEMATICAL MODEL; PRIORITY JOURNAL;

ALGORITHMS; ANALGESICS, OPIOID; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PIPERIDINES;

EID: 34250666942     PISSN: 03065251     EISSN: 13652125     Source Type: Journal    
DOI: 10.1111/j.1365-2125.2007.02845.x     Document Type: Article

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