Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data

HIGHLIGHTS

• who: Samuel J. Weisenthal and colleagues from the Rochester Center for Health Informatics, University of Rochester Medical Center, Rochester, NY, United Pulmonary and Critical Care Medicine, University of Rochester Medical Center, Rochester, NY, United States have published the Article: Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0204920]. November 20, 2018 of /1371/
• what: The authors examine importances/coefficients from sysHP(Train1Train) to ensure that they are reasonably related to renal function. The authors investigated the . . .
  

   

  

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