Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy-Reference-Cited by-同舟云学术

Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy

Published:2016-07-27 Issue:16 Volume:61 Page:6105-6120
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Valdes Gilmer,Solberg Timothy D,Heskel Marina,Ungar Lyle,Simone Charles B

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://stacks.iop.org/0031-9155/61/i=16/a=6105/pdf

Reference35 articles.

1. The Problem of Embedded Decision Nodes in Cost-Effectiveness Decision Trees

2. The impact of heterogeneity correction on dosimetric parameters that predict for radiation pneumonitis

3. Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis

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