Transplant Risk and Prediction Models

A collaboration between the Division of Transplant Surgery, Division of Biostatistics, and Biostatistical Design and Analysis Center

Below are a series of the decision models we have developed.
For more information about our research, please visit the Division of Transplant Surgery, Division of Biostatistics, or Biostatistical Design and Analysis Center webpages.




Living Kidney Donor Risk Models

This model predicts kidney donor risk of hypertension, type 2 diabetes, eGFR, ESRD, and proteinuria following donation using Cox and random forest models.

*Note that this app may take up to a minute to load.

Ibrahim et al. (2016)
Sanchez et al. (2018)
Ibrahim et al. (2010)


Liver Transplant with MELD ≥ 40

This model looks at patient survival within one year of liver transplant for recipients with MELD values equal or above 40 using random forest survival methods.

Evans et al. (2020)