Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool

Mutlu Mete, Mehmet U.S. Ayvaci, Venkatesh Kumar Ariyamuthu, Alpesh A Amin, Matthias Peltz, Jennifer T. Thibodeau, Justin L. Grodin, Pradeep P.A. Mammen, Sonia Garg, Faris Araj, Robert Morlend, Mark H Drazner, Nashila AbdulRahim, Yeongin Kim, Yusuf Salam, Ahmet B. Gungor, Bulent Delibasi, Suman K. Kotla, Malcolm P MacConmara, Prince Mohan AnandGaurav Gupta, Bekir Tanriover

Research output: Contribution to journalArticlepeer-review

Original languageEnglish (US)
JournalKidney International Reports
DOIs
StateAccepted/In press - 2022

Keywords

  • dialysis
  • end-stage renal disease
  • heart transplant
  • machine learning
  • prediction
  • random forest

ASJC Scopus subject areas

  • Nephrology

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