Prediction of aminoglycoside response against methicillin-resistant Staphylococcus aureus infection in burn patients by artificial neural network modeling

Biomedicine and Pharmacotherapy

Volumn 62, Issue 1, 2008, Pages 53-58

  Yamamura, Shigeo ^a   Kawada, Keiko ^a   Takehira, Rieko ^a   Nishizawa, Kenji ^b   Katayama, Shirou ^b   Hirano, Masaaki ^b   Momose, Yasunori ^a  

^a TOHO UNIVERSITY   (Japan)

^b NIPPON MEDICAL SCHOOL HOSPITAL   (Japan)

Author keywords

Aminoglycosides; Artificial neural network modeling; Burn patients

Indexed keywords

AMINOGLYCOSIDE ANTIBIOTIC AGENT; C REACTIVE PROTEIN; CREATININE; HABEKACIN; METICILLIN; SUGAR;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL COUNT; BACTERIAL INFECTION; BLOOD LEVEL; BURN; BURN PATIENT; CLINICAL ARTICLE; CREATININE BLOOD LEVEL; DISEASE MARKER; DISEASE SEVERITY; DRUG ACTIVITY; DRUG RESPONSE; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; LEUKOCYTE COUNT; LOGISTIC REGRESSION ANALYSIS; MALE; NERVE CELL; PREDICTION; PRIORITY JOURNAL; PROTEIN BLOOD LEVEL; SKIN TRANSPLANTATION; STAPHYLOCOCCUS AUREUS; TREATMENT RESPONSE; VALIDATION PROCESS;

ADULT; AGED; AGED, 80 AND OVER; AMINOGLYCOSIDES; ANTI-BACTERIAL AGENTS; BLOOD GLUCOSE; BURNS; CREATININE; DIBEKACIN; FEMALE; FORECASTING; HUMANS; LOGISTIC MODELS; MALE; METHICILLIN RESISTANCE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); RETROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX; SKIN TRANSPLANTATION; STAPHYLOCOCCAL INFECTIONS; STAPHYLOCOCCUS AUREUS; TREATMENT OUTCOME;

EID: 38049084300     PISSN: 07533322     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biopha.2007.11.004     Document Type: Article

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