Diagnostic performance of electronic noses in cancer diagnoses using exhaled breath: A systematic review and meta-analysis

MHMC Scheepers, Z Al-Difaie, L Brandts… - JAMA network …, 2022 - jamanetwork.com
Importance There has been a growing interest in the use of electronic noses (e-noses) in
detecting volatile organic compounds in exhaled breath for the diagnosis of cancer …

Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose

B VA, M Subramoniam, L Mathew - Expert review of molecular …, 2021 - Taylor & Francis
Introduction This paper describes the research work done toward the development of a
breath analyzing electronic nose (e-nose), and the results obtained from testing patients with …

Prediction of pulmonary diseases with electronic nose using SVM and XGBoost

VA Binson, M Subramoniam, Y Sunny… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The volatile organic compounds (VOC) present in the exhaled breath can be used as the
biomarkers of certain diseases especially pulmonary diseases. A system and device are …

A miniaturized electronic nose with artificial neural network for anti-interference detection of mixed indoor hazardous gases

J Zhang, Y Xue, Q Sun, T Zhang, Y Chen, W Yu… - Sensors and Actuators B …, 2021 - Elsevier
Indoor air quality attracted great attention for its significant threats to human health and
safety, especially the potential hazardous gases in kitchens. To meet the requirements of the …

Discrimination of COPD and lung cancer from controls through breath analysis using a self-developed e-nose

VA Binson, M Subramoniam… - Journal of Breath …, 2021 - iopscience.iop.org
This work details the application of a metal oxide semiconductor (MOS) sensor based
electronic nose (e-nose) system in the discrimination of lung cancer and chronic obstructive …

Gas identification with drift counteraction for electronic noses using augmented convolutional neural network

L Feng, H Dai, X Song, J Liu, X Mei - Sensors and Actuators B: Chemical, 2022 - Elsevier
Sensor drift is the most challenging problem in the chemical sensing of an electronic nose
system. We have proposed a new pattern recognition approach, namely augmented …

Role of cobalt in Co-ZnO nanoflower gas sensors for the detection of low concentration of VOCs

Y Luo, A Ly, D Lahem, JDM Martin, AC Romain… - Sensors and Actuators B …, 2022 - Elsevier
As a non-invasive detection method, breath analysis for the diagnosis of lung cancer has
been a hotspot in the medical field. Using an electronic nose to achieve the breath analysis …

A weighted discriminative extreme learning machine design for lung cancer detection by an electronic nose system

L Zhao, J Qian, F Tian, R Liu, B Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a study on lung cancer detection based on electronic nose technology.
The pattern recognition algorithm is extremely crucial for an electronic nose system, but the …

Explainable machine learning for lung cancer screening models

K Kobylińska, T Orłowski, M Adamek, P Biecek - Applied Sciences, 2022 - mdpi.com
Modern medicine is supported by increasingly sophisticated algorithms. In diagnostics or
screening, statistical models are commonly used to assess the risk of disease development …

Metal oxide semiconductor gas sensors for lung cancer diagnosis

G Li, X Zhu, J Liu, S Li, X Liu - Chemosensors, 2023 - mdpi.com
Lung cancer is the most prevalent severe illness in both sexes and all ages and the leading
cause of cancer-related deaths globally. Late-stage diagnosis is the primary cause of its …