16 January 2024: Original Paper
Immediate Impact of the COVID-19 Pandemic on Heart and Kidney Transplantation and the Recovery Trends in 30 Developed and Less-Developed Countries
Mohammad Islam 1CDE , Bryson Edwards 2BDFG , Jeffrey Goddard 2BDG , Ruhul H. Kuddus 2ACDEFG*DOI: 10.12659/AOT.942188
Ann Transplant 2024; 29:e942188
Table 8 Prediction accuracy measure estimated by measuring the root mean squared error (RMSE) for the artificial neural network (ANN) model. Shown are the number of actual transplants in 2019 and the estimated number of transplants in 2019, forecasted based on transplantation data for the years 2015 to 2018. The low RMSE indicates the robustness of the ANN model for forecasting.
| Country group | Heart | DDK | LDK | Combined kidneys |
|---|---|---|---|---|
| High-GDP | 0.97 | 2.46 | 2.10 | 2.79 |
| Mid-GDP | 0.72 | 2.18 | 2.06 | 2.08 |
| Low-GDP | 0.59 | 2.14 | 1.97 | 1.72 |
| DDK – deceased donor kidney; LDK – living donor kidney. | ||||