Effect of the data collection time
We examined the effect of the length of data collection time on the
model’s ability to predict revision ESS risk by using only Logistic
Regression model (Figure 2), because the three classifiers performed
with a similar pattern and with a fair discrimination ability (the
highest AUC values between 0.7-0.8, see Figure 1). We found that the
highest AUC value was obtained when the variable data were collected
from the baseline visit until 12 months after the baseline ESS (.81,
Figure 2, Table S7), as compared with data collection time from baseline
visit until 0, 3 and 6 months after the baseline ESS.