Development of a Support Vector Machine-Based Tool for Survival Prediction after Stereotactic Body Radiotherapy for Liver Metastases Using Multi-Institutional Data

Purpose/Objective(s) Stereotactic body radiotherapy (SBRT) has been increasingly used as well-tolerated, effective treatment for metastatic liver lesions. Machine learning can predict outcomes and aid in developing treatment regimens; however, few studies have attempted to predict liver SBRT outcomes and most have been limited to a single institution. Support vector machine (SVM) algorithms can address complex classification by mapping data …