Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients

Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients

BackgroundRadiation-induced lung fibrosis (RILF) is an important late toxicity in patients with non-small-cell lung cancer (NSCLC) after radiotherapy (RT). Clinically significant RILF can impact quality of life and/or cause non-cancer related death. This study aimed to determine whether pre-treatmen...

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Bibliographic Details
Main Authors: Hao Yu, Ka-On Lam, Huanmei Wu, Michael Green, Weili Wang, Jian-Yue Jin, Chen Hu, Shruti Jolly, Yang Wang, Feng-Ming Spring Kong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
Support Vector Machine
radiation-induced lung fibrosis
non-small-cell lung cancer
cytokine
lung dosimetric factors
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.601979/full

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https://www.frontiersin.org/articles/10.3389/fonc.2020.601979/full

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