Turning AKI risk into action with calibrated, transport-tested machine learning.

Journal: International urology and nephrology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Emmanuel Pio Pastore
    Department of Biology, Ecology and Earth Science, University of Calabria, Rende, CS, Italy. [email protected].

Keywords

No keywords available for this article.