Analysing common topics of secure patient messages in hidradenitis suppurativa: a text-embedding and natural language-processing approach

Br J Dermatol. 2024 Sep 18;191(4):633-635. doi: 10.1093/bjd/ljae222.

Authors

Michael L Chen^{1

2}, Jiyeong Kim², Haley B Naik³, Maria A Aleshin¹, Kavita Y Sarin¹, Leandra A Barnes¹, Eleni Linos^{1

2}

Affiliations

¹ Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.
² Center for Digital Health, Stanford University, Stanford, CA, USA.
³ Department of Dermatology, University of California, San Francisco, CA, USA.

PMID: 38975641
DOI: 10.1093/bjd/ljae222

No abstract available

Publication types

Letter

MeSH terms

Hidradenitis Suppurativa*
Humans
Natural Language Processing*
Text Messaging*

Grants and funding

R01AR082109/GF/NIH HHS/United States