Identification of chronic urticaria subtypes using machine learning algorithms-Reference-Cited by-同舟云学术

Identification of chronic urticaria subtypes using machine learning algorithms

Published:2021-10-12 Issue:1 Volume:77 Page:323-326
ISSN:0105-4538
Container-title:Allergy
language:en
Short-container-title:Allergy

Author:

Türk Murat¹^ORCID,Ertaş Ragıp²,Zeydan Engin³,Türk Yekta⁴,Atasoy Mustafa²,Gutsche Annika⁵⁶,Maurer Marcus⁵⁶^ORCID

Affiliation:

1. Clinic of Immunologic and Allergic Diseases Kayseri City Education and Research Hospital Kayseri Turkey

2. Department of Dermatology Kayseri City Education and Research Hospital Kayseri Turkey

3. Communication Networks Division Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Barcelona Spain

4. Aselsan Inc Ankara Turkey

5. Dermatological Allergology Department of Dermatology and Allergy Berlin Institute of Health Charité – Universitätsmedizin BerlinCorporate Member of Freie Universität BerlinHumboldt‐Universität zu Berlin Berlin Germany

6. Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP) Allergology and Immunology Berlin Germany

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/all.15119

Reference6 articles.

1. The EAACI/GA²LEN/EDF/WAO guideline for the definition, classification, diagnosis and management of urticaria

2. The definition, diagnostic testing, and management of chronic inducible urticarias - The EAACI/GA2LEN/EDF/UNEV consensus recommendations 2016 update and revision

3. Unmet clinical needs in chronic spontaneous urticaria. A GA2LEN task force report1

4. Identification of Asthma Phenotypes Using Cluster Analysis in the Severe Asthma Research Program

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