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Development of a breath detection method based E-nose system for lung cancer identification
Conference paper

Development of a breath detection method based E-nose system for lung cancer identification

De-Ming Wong, Chen-Yu Fang, Li-Ying Chen, Chen-I Chiu, Ting-I Chou, Cheng-Chun Wu, Shih-Wen Chiu and Kea-Tiong Tang
Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018, pp.1119-1120
06/2018
DOI: https://doi.org/10.1109/ICASI.2018.8394477

Abstract

e-nose identification lung cancer Computer Networks and Communications Hardware and Architecture Energy Engineering and Power Technology Control and Systems Engineering Mechanical Engineering Control and Optimization Modeling and Simulation Biomedical Engineering
In this paper, we focused on the method of lung cancer identification by breath. Lung cancer had occupied the first place in the top ten leading causes of death. When lung cancer patients were diagnosed, most of the patients had lost the opportunity of cure. However, physicians determined the lung cancer cases in complicated steps. Therefore, the purpose of this breath detection system was to help physicians to quickly screen for rapid screening lung cancer. We used KNN and SVM with leave-one-out cross validation to analyze. Finally, we got good accuracy that was 84.4%.

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