Comparison of a neural network approach with five traditional methods for predicting creatinine clearance in patients with human immunodeficiency virus infection

Pharmacotherapy

Volumn 19, Issue 6, 1999, Pages 734-740

  Herman, Ronald A ^a   Noormohamed, Saleem ^a   Hirankarn, Sarapee ^a   Shelton, Mark J ^a   Huang, Eric ^a   Morse, Gene D ^a   Hewitt, Ross G ^a   Stapleton, Jack T ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; ANTIVIRUS AGENT; ASPARTATE AMINOTRANSFERASE; GANCICLOVIR; GLUCOSE; POTASSIUM; SODIUM; ZALCITABINE; ZIDOVUDINE;

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD CHEMISTRY; CALCULATION; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CREATININE CLEARANCE; DRUG CLEARANCE; DRUG MONITORING; ERYTHROCYTE COUNT; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; UREA NITROGEN BLOOD LEVEL; VALIDATION PROCESS;

ADULT; CREATININE; FEMALE; HIV INFECTIONS; HUMANS; IOWA; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES;

EID: 0033067772     PISSN: 02770008     EISSN: None     Source Type: Journal    
DOI: 10.1592/phco.19.9.734.31545     Document Type: Article

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