Using ANN in selection of the most important variables in prediction of chronic renal allograft rejection progression

Transplantation Proceedings

Volumn 31, Issue 1-2, 1999, Pages 368-

  Simic Ogrizovic, S ^a   Furuncic, D ^a   Lezaic, V ^a   Radivojevic, D ^a   Blagojevic, R ^a   Djukanovic, Lj ^a  

^a Institute of Urology and Nephrology   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; DISEASE ASSOCIATION; DISEASE PREDISPOSITION; GRAFT FAILURE; GRAFT SURVIVAL; HUMAN; KIDNEY ALLOGRAFT REJECTION; PRIORITY JOURNAL; PROGNOSIS; RISK FACTOR;

EID: 0344889019     PISSN: 00411345     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0041-1345(98)01665-0     Document Type: Conference Paper

References (2)

1. Narendra K.S. Parthasarahty: IEEE Trans Neural Network. 1:1990;4.
2. Massy Z., Guijarro, Kassike B.L. Kidney Int. 48:(suppl 52):1995;85.