Transplantation: Neural networks for predicting graft survival

Bruce Kaplan, Jesse Schold

    Research output: Contribution to journalShort surveypeer-review

    17 Scopus citations


    Predicting outcomes of renal transplant recipients using standard statistical techniques is difficult. novel approaches such as the use of artificial neural networks might improve the precision and accuracy in this area of medicine in which numerous and complex events contribute to outcomes.

    Original languageEnglish (US)
    Pages (from-to)190-192
    Number of pages3
    JournalNature Reviews Nephrology
    Issue number4
    StatePublished - Apr 1 2009

    ASJC Scopus subject areas

    • Nephrology


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