Predictive modeling using a nationally representative database to identify patients at risk of developing microalbuminuria

  • Lorenzo Villa-Zapata
  • , Terri Warholak
  • , Marion Slack
  • , Daniel Malone
  • , Anita Murcko
  • , George Runger
  • , Michael Levengood

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)249-256
Number of pages8
JournalInternational Urology and Nephrology
Volume48
Issue number2
DOIs
StatePublished - Feb 1 2016
Externally publishedYes

ASJC Scopus Subject Areas

  • Nephrology
  • Urology

Keywords

  • Albuminuria
  • Microalbuminuria
  • Predictive model
  • Proteinuria

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