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

Hidradenitis Suppurativa (8) Tools, Programs and Algorithms (385) Decision Support for Health Professionals (1560)

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 (5) 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
  5. Pham H, McMeniman E, Liu T, Eva J, Khosrotehrani K, Pole J. Development of Digital Algorithms for the Early Identification of Rare Clinical Outcomes Using Electronic Medical Records: A Case Study of Hidradenitis Suppurativa. Population Health Management 2025 View