Detection of COPD and Lung Cancer with electronic nose using ensemble learning methods

• Published in: Clinica chimica acta Vol. 523; pp. 231 - 238
• Main Authors: V.A., Binson, Subramoniam, M., Mathew, Luke
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2021
• Subjects: Breath analysis; Breath Tests; COPD; Electronic Nose; Ensemble learning; Humans; KPCA; Lung cancer; Lung Neoplasms - diagnosis; Machine Learning; Pulmonary Disease, Chronic Obstructive - diagnosis; Volatile Organic Compounds; KPCA; Ensemble learning; Lung cancer; Electronic nose; Breath analysis; COPD

•An e-nose system was developed with five MOS gas sensors.•Non-invasive diagnosis of COPD and lung cancer was done through breath analysis.•Selecting patients and controls of almost same age group is a challenging task.•Proper selection of sensors and classifiers can give better classification resul...