Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm

Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm

Monitoring exhaled breath is a very attractive, noninvasive screening technique for early diagnosis of diseases, especially lung cancer. However, the technique provides insufficient accuracy because the exhaled air has many crucial volatile organic compounds (VOCs) at very low concentrations (ppb le...

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Bibliographic Details
Main Authors: Yuichi Sakumura, Yutaro Koyama, Hiroaki Tokutake, Toyoaki Hida, Kazuo Sato, Toshio Itoh, Takafumi Akamatsu, Woosuck Shin
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Sensors
Subjects:
lung cancer
volatile organic compounds (VOCs)
exhaled air
screening
gas chromatography–mass spectrometry analysis
support vector machine (SVM)
Online Access:http://www.mdpi.com/1424-8220/17/2/287

Internet

http://www.mdpi.com/1424-8220/17/2/287

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