The DERMACLEAR study: Verification results of a natural language processing system in dermatology

The DERMACLEAR study: Verification results of a natural language processing system in dermatology

Abstract Background Accurately determining the epidemiology of dermatological diseases such as hidradenitis suppurativa (HS), psoriasis (PsO), chronic urticaria (CU) and/or atopic dermatitis (AD) is challenging due to variations in prevalence and disease severity in the reported literature. Objectiv...

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Bibliographic Details
Main Authors: Francisco J. Ortiz de Frutos, Ana M. Giménez‐Arnau, Lluís Puig, Juan F. Silvestre, Esther Serra, Laura Salgado‐Boquete, Vicente García‐Patos, Jose L. L. Estebaranz, Jaime Notario, Ana Martin‐Santiago, Gabriel M. Pontevia, Víctor Martín, Guillermo Guinea, Pau Terradas, Esteban Daudén
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:JEADV Clinical Practice
Subjects:
deep learning
dermatology
machine learning
natural language processing
OMOP CSM
real world data
Online Access:https://doi.org/10.1002/jvc2.217

Internet

https://doi.org/10.1002/jvc2.217

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