This paper is in the following e-collection/theme issue:

Hidradenitis Suppurativa (8) Tools, Programs and Algorithms (376) Decision Support for Health Professionals (1539)

Published on in Vol 5, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38783, first published .
Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study

Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study

Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study

Authors of this article:

Jill Hardin1, 2 Author Orcid Image ;   Gayle Murray1 Author Orcid Image ;   Joel Swerdel1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Hardin J, Makadia R, Black S, Lara-Corrales I, Diaz L, Kirby J, DeKlotz C. Characteristics and treatment pathways in pediatric and adult hidradenitis suppurativa: An examination using real world data. JAAD International 2023;12:124 View
  2. Patil M, Salazar C, Venkatesh K, Milosavljevic S, Rohan T, Charrow A, Nambudiri V. Prevalence of obstructive sleep apnea with hidradenitis suppurativa: a matched case-control study. Archives of Dermatological Research 2024;316(5) View
  3. Ali W, Williams J, Xiong B, Zou J, Daneshjou R. Machine Learning for Early Detection of Hidradenitis Suppurativa: A Feasibility Study Using Medical Insurance Claims Data. JID Innovations 2025;5(3):100362 View
  4. Wafae B, Charrow A, Stein D, Barbieri J, Noe M. Risk of Serious Infection With Adalimumab in Hidradenitis Suppurativa Compared With Psoriasis. JAMA Dermatology 2025;161(11):1116 View