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

Autor: Chen ML; Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.; Center for Digital Health, Stanford University, Stanford, CA, USA., Kim J; Center for Digital Health, Stanford University, Stanford, CA, USA., Naik HB; Department of Dermatology, University of California, San Francisco, CA, USA., Aleshin MA; Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA., Sarin KY; Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA., Barnes LA; Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA., Linos E; Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.; Center for Digital Health, Stanford University, Stanford, CA, USA.
Jazyk: angličtina
Zdroj: The British journal of dermatology [Br J Dermatol] 2024 Sep 18; Vol. 191 (4), pp. 633-635.
DOI: 10.1093/bjd/ljae222
Abstrakt: Competing Interests: Conflicts of interest The authors declare no conflicts of interest.
Databáze: MEDLINE