Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Title:
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Author:
Abajian, Aaron
Personal Author:
Publication Information:
Cambridge, MA MyJoVE Corp 2016
Physical Description:
online resource (249 seconds)
Series:
Medicine
General Note:
Title from resource description page
Abstract:
Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who cannot undergo surgical resection. A method for predicting response to these therapies is proposed. The technique uses pre-procedural clinical, demographic, and imaging information to train machine learning models capable of predicting response prior to treatment.
Reading Level:
For undergraduate, graduate, and professional students
Subject Term:
Electronic Access:
https://www.jove.com/t/58382