Machine learning approach to predict acute kidney injury after liver surgery

Figure 1 Patient selection and analysis. The 3218 patients who underwent liver cancer resection were initially included. 768 patients were excluded based on exclusion criteria, and a total of 2450 patients were included in the study (data set). The data set was divided into a training set and test set. First, the model was applied to the training set for the modeling process and the parameters were debugged. Then, the model was validated in the test set.