@article{savoure:inserm-04353753,
TITLE = {Identification of rhinitis phenotypes using an unsupervised approach in the Constances cohort},
AUTHOR = {Savour{\'e},
Marine and Bousquet, Jean and Orsi, Laurent and Goldberg, Marcel and Leynaert, B{\'e}n{\'e}dicte and Nadif, Mohamed and Ribet, C{\'e}line and Zins, Marie and Jacquemin, B{\'e}n{\'e}dicte and Nadif, Rachel},
URL = {https://inserm.hal.science/inserm-04353753},
JOURNAL = {European Respiratory Journal},
PUBLISHER = {European Respiratory Society},
VOLUME = {62},
NUMBER = {suppl 67},
PAGES = {PA1965},
YEAR = {2023},
MONTH = Sep, DOI = {10.1183/13993003.congress-2023.PA1965},
KEYWORDS = {Medicine, Cohort, Nose, Asthma, Population, Allergy, Cluster (spacecraft), Internal medicine, Cohort study, Nasal administration, Immunology, Surgery, Environmental health, Computer science, Programming language},
HAL_ID = {inserm-04353753},
HAL_VERSION = {v1},
}