A machine learning ‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters
ConclusionThe machine learning ‐based RSF model integrating both clinical and DVH variables is an improved and useful tool for predicting the survival of HGG patients.
Source: Cancer Medicine - Category: Cancer & Oncology Authors: Haiyan Chen,
Chao Li,
Lin Zheng,
Wei Lu,
Yanlin Li,
Qichun Wei Tags: ORIGINAL RESEARCH Source Type: research
More News: Brain | Brain Cancers | Brain Tumor | Cancer | Cancer & Oncology | Glioma | Learning | Neurology | Training | Universities & Medical Training