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

Hidradenitis Suppurativa (7) Tools, Programs and Algorithms (275) Decision Support for Health Professionals (1210)

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 (2) Tweetations (7) Metrics

Jill Hardin   1, 2 * , MBA, MS, PhD ;   Gayle Murray   1 * , MSW ;   Joel Swerdel   1, 2 * , MS, MPH, PhD

1 Janssen Research and Development, Titusville, NJ, United States

2 Observational Health Data Sciences and Informatics, New York, NY, United States

*all authors contributed equally

Corresponding Author:

  • Jill Hardin, MBA, MS, PhD
  • Janssen Research and Development
  • 1125 Trenton-Harbourton Road
  • Titusville, NJ, 08560
  • United States
  • Phone: 1 650-619-8599
  • Email: jhardi10@its.jnj.com