Algorithms to Identify Patients with Hepatocellular Carcinoma

摘要

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.

主权项

1. A computer-implemented method comprising:
receiving, at a patient identification module via a network interface, patient data describing a plurality of patients; identifying, by a patient identification module executing on one or more processors, at least some of the plurality of patients as having a high risk of developing liver cancer,
wherein the patient identification module is generated based on an application of machine learning techniques to a training data set, andwherein the patient identification module is validated based on both the training data set and an external validation data set; and generating, by the patient identification module, a grouping of the plurality of patients based on the identification of the at least some of the plurality of patients.