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Identification of chronic urticaria subtypes using machine learning algorithms.
- Source :
-
Allergy . Jan2022, Vol. 77 Issue 1, p323-326. 4p. - Publication Year :
- 2022
-
Abstract
- Keywords: chronic urticarial; cluster analysis; endotype; machine learning; phenotype EN chronic urticarial cluster analysis endotype machine learning phenotype 323 326 4 12/31/21 20220101 NES 220101 ACKNOWLEDGEMENTS This project benefitted from the support (non-financial) of the GA SP 2 sp LEN network of urticaria centers of reference and excellence (UCARE, www.ga2len-ucare.com). The results of our study provide proof of concept that the use of unsupervised ML algorithms can identify meaningful and distinct groups of patients with CU and cluster CU into four different and distinct subtypes. [Extracted from the article]
- Subjects :
- *URTICARIA
*MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 01054538
- Volume :
- 77
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Allergy
- Publication Type :
- Academic Journal
- Accession number :
- 154389766
- Full Text :
- https://doi.org/10.1111/all.15119