Application of artificial neural networks in estimating predictive factors and therapeutic efficacy in idiopathic membranous nephropathy

Biomedicine and Pharmacotherapy

Volumn 64, Issue 9, 2010, Pages 633-638

  Naumovic, R ^a,b   Furuncic, D ^c   Jovanovic, D ^a,b   Stosovic, M ^a   Basta Jovanovic, G ^b   Lezaic, V ^a,b  

^a CLINICAL CENTER OF SERBIA   (Serbia)

^b UNIVERSITY OF BELGRADE   (Serbia)

^c MIHAJLO PUPIN INSTITUTE   (Serbia)

Author keywords

Artificial neural network; Idiopathic membranous nephropathy

Indexed keywords

CHLORAMBUCIL; CYCLOPHOSPHAMIDE; METHYLPREDNISOLONE; PREDNISONE;

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL PROTOCOL; DRUG EFFICACY; FEMALE; HUMAN; IDIOPATHIC DISEASE; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; MEMBRANOUS GLOMERULONEPHRITIS; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROGNOSIS; PROTEINURIA; RETROSPECTIVE STUDY; RISK FACTOR;

ADULT; ANTI-INFLAMMATORY AGENTS; CHLORAMBUCIL; CYCLOPHOSPHAMIDE; DRUG THERAPY, COMBINATION; FEMALE; GLOMERULONEPHRITIS, MEMBRANOUS; HUMANS; IMMUNOSUPPRESSIVE AGENTS; MALE; METHYLPREDNISOLONE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDNISONE; PROGNOSIS;

EID: 78049270752     PISSN: 07533322     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biopha.2010.06.003     Document Type: Article

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