Skip to Main content Skip to Navigation
Journal articles

Cross‐sectional biomarker comparisons in asthma monitoring using a longitudinal design: The eNose premise

Mahmoud Abdel‐aziz 1, 2 Rianne de Vries 1 Ariana Lammers 1 Binbin Xu 3 Anne Neerincx 1 Susanne Vijverberg 1 yennece Dagelet 1 Aletta Kraneveld 4 Urs Frey 5 René Lutter 1 Peter Sterk 1 Anke Maitland‐van Der Zee 1 Anirban Sinha 1, 5 
1 UvA - University of Amsterdam [Amsterdam]
2 Assiut University
3 I3A - Informatique, Image, Intelligence Artificielle
LGI2P - Laboratoire de Génie Informatique et d'Ingénierie de Production
4 Utrecht University [Utrecht]
5 Unibas - University of Basel
Keywords : asthma biomarker cross‐sectional eNose longitudinal rhinovirus VOCs
Document type :
Journal articles
Complete list of metadata
https://hal.mines-ales.fr/hal-02883760
Contributor : Administrateur IMT - Mines Alès Connect in order to contact the contributor
Submitted on : Monday, June 29, 2020 - 1:59:17 PM
Last modification on : Wednesday, November 3, 2021 - 7:49:28 AM

Identifiers

Collections

INSTITUT-TELECOM | EM-ALES

Citation

Mahmoud Abdel‐aziz, Rianne de Vries, Ariana Lammers, Binbin Xu, Anne Neerincx, et al.. Cross‐sectional biomarker comparisons in asthma monitoring using a longitudinal design: The eNose premise. Allergy, Wiley, 2020, 4 p. ⟨10.1111/all.14354⟩. ⟨hal-02883760⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

59