Lung cancer detection via breath by electronic nose enhanced with a sparse group feature selection approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Lung cancer detection via breath by electronic nose enhanced with a sparse group feature selection approach
Authors
Keywords
Electronic nose (E-nose), Lung cancer, Breath analysis, Volatile organic compounds (VOCs), Thermal desorption, Sparse group lasso (SGL)
Journal
SENSORS AND ACTUATORS B-CHEMICAL
Volume 339, Issue -, Pages 129896
Publisher
Elsevier BV
Online
2021-04-06
DOI
10.1016/j.snb.2021.129896
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-invasive prediction of lung cancer histological types through exhaled breath analysis by UV-irradiated electronic nose and GC/QTOF/MS
- (2020) Tarik Saidi et al. SENSORS AND ACTUATORS B-CHEMICAL
- Ultrasensitive Inductive Debris Sensor With a Two-Stage Autoasymmetrical Compensation Circuit
- (2020) Min Qian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- The potential of breath analysis to improve outcome for patients with lung cancer
- (2019) Sophia Antoniou et al. Journal of Breath Research
- Exhaled breath analysis using electronic nose and gas chromatography–mass spectrometry for non-invasive diagnosis of chronic kidney disease, diabetes mellitus and healthy subjects
- (2018) Tarik Saidi et al. SENSORS AND ACTUATORS B-CHEMICAL
- Air sampling unit for breath analyzers
- (2017) Dariusz Szabra et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- The analysis of volatile organic compounds biomarkers for lung cancer in exhaled breath, tissues and cell lines
- (2017) Yishan Wang et al. Cancer Biomarkers
- Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: A pilot study
- (2017) Joseph M. Lewis et al. PLoS One
- Cancer statistics in China, 2015
- (2016) Wanqing Chen et al. CA-A CANCER JOURNAL FOR CLINICIANS
- VOC breath biomarkers in lung cancer
- (2016) Yannick Saalberg et al. CLINICA CHIMICA ACTA
- Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers
- (2016) J. R. Mayers et al. SCIENCE
- Comparative analyses of volatile organic compounds (VOCs) from patients, tumors and transformed cell lines for the validation of lung cancer-derived breath markers
- (2014) Wojciech Filipiak et al. Journal of Breath Research
- The McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional
- (2013) Morten W Fagerland et al. BMC Medical Research Methodology
- A nanomaterial-based breath test for short-term follow-up after lung tumor resection
- (2012) Yoav Y. Broza et al. Nanomedicine-Nanotechnology Biology and Medicine
- Chemical gas sensor drift compensation using classifier ensembles
- (2012) Alexander Vergara et al. SENSORS AND ACTUATORS B-CHEMICAL
- A Portable Electronic Nose Intended for Home Healthcare Based on a Mixed Sensor Array and Multiple Desorption Methods
- (2011) Kai Yu et al. Sensor Letters
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
- (2010) Jie Peng et al. Annals of Applied Statistics
- Breath Analysis of Lung Cancer Patients Using an Electronic Nose Detection System
- (2010) Vanessa H Tran et al. IEEE SENSORS JOURNAL
- An investigation on electronic nose diagnosis of lung cancer
- (2009) Arnaldo D’Amico et al. LUNG CANCER
- Detection of lung cancer using weighted digital analysis of breath biomarkers
- (2008) Michael Phillips et al. CLINICA CHIMICA ACTA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now