Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer

Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer

(1) Background: Lung cancer is silent in its early stages and fatal in its advanced stages. The current examinations for lung cancer are usually based on imaging. Conventional chest X-rays lack accuracy, and chest computed tomography (CT) is associated with radiation exposure and cost, limiting scre...

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Bibliographic Details
Main Authors: Ping-Hsien Tsou, Zong-Lin Lin, Yu-Chiang Pan, Hui-Chen Yang, Chien-Jen Chang, Sheng-Kai Liang, Yueh-Feng Wen, Chia-Hao Chang, Lih-Yu Chang, Kai-Lun Yu, Chia-Jung Liu, Li-Ta Keng, Meng-Rui Lee, Jen-Chung Ko, Guan-Hua Huang, Yaw-Kuen Li
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Cancers
Subjects:
volatile organic compounds
SIFT-MS
XGBoost
lung cancer
breath analysis
machine learning
Online Access:https://www.mdpi.com/2072-6694/13/6/1431

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