Abstract: A method for identifying patients with a high risk of liver cancer development includes receiving patient data describing a plurality of patients and executing a patient identification module on the patient data to identify at least some of the plurality of patients as having a high risk of developing liver cancer. The patient identification module is generated based on an application of machine learning techniques to a training data set, and the patient identification module is validated based on both the training data set and an external validation data set. Further, the method includes generating a grouping of the plurality of patients based on the identification of the at least some of the plurality of patients.