Chiu CC, et al. - Considering the adequacy in addressing the essential issue of internal validity in prediction models such as artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and multiple linear regression (MLR) models, researchers performed a prospective study comparing the accuracy of the four models in predicting quality of life (QOL) after hepatic resection received by 332 patients with hepatocellular carcinoma (HCC) during 2012–2015. As per findings, in preoperative and postoperative healthcare consultations with HCC surgery candidates, they recommend using an ANN model rather than SVM, GPR, or MLR models to estimate QOL at 6 months post-surgery. Findings also suggested the utility of the best QOL predictors, identified in this study, in educating candidates for HCC surgery regarding the expected course of recovery and other surgical outcomes.