Clinical application of artificial neural network (ANN) modeling to predict pharmacokinetic parameters of severely ill patients

Advanced Drug Delivery Reviews

Volumn 55, Issue 9, 2003, Pages 1233-1251

  Yamamura, Shigeo ^a  

^a TOHO UNIVERSITY   (Japan)

Author keywords

Aminoglycoside antibiotics; Artificial neural network; Pharmacokinetic modeling; Severely ill patients

Indexed keywords

DATA STRUCTURES; DRUG PRODUCTS; LINEAR SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PATIENT TREATMENT; REGRESSION ANALYSIS;

LINEAR REGRESSION ANALYSIS;

PHARMACOKINETICS;

AMIKACIN; AMIKAMYCIN; AMINOGLYCOSIDE ANTIBIOTIC AGENT; AZTREONAM; COTRIMOXAZOLE; CREATININE; HABEKACIN; PHENYTOIN; TROVAFLOXACIN;

ADULT; AGED; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DISEASE SEVERITY; DRUG BLOOD LEVEL; DRUG CLEARANCE; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; MULTIPLE REGRESSION; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; REVIEW; SENSITIVITY AND SPECIFICITY;

EID: 0041733248     PISSN: 0169409X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-409X(03)00121-2     Document Type: Article

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