Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study

A multivariate model leveraging standard clinical data can relatively accurately predict the risk of psoriasis relapse post-biologic discontinuation, guiding personalized treatment strategies.

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Publication Details

Journal
Journal of Dermatological Treatment
Published
2025-03-19
DOI
https://doi.org/10.1080/09546634.2025.2480743
Citations
2
Primary Topic
Psoriasis: Treatment and Pathogenesis
Type
article
Field-Weighted Citation Impact
1.59
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article

Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study

Haijun Yu, Xingwu Duan, Yanping Bai, Shan Huang et al.
2 citations
Journal of Dermatological Treatment
Psoriasis: Treatment and Pathogenesis
1.59
article

Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study

Haijun Yu, Xingwu Duan, Yanping Bai, Shan Huang, Ruili Qi
article en
2 citations

Abstract

A multivariate model leveraging standard clinical data can relatively accurately predict the risk of psoriasis relapse post-biologic discontinuation, guiding personalized treatment strategies.

Journal of Dermatological TreatmentVol. 36(1)
China-Japan Friendship Hospital (CN), Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN)
Openalex Percentile: Top 18%
Psoriasis: Treatment and Pathogenesis
1.59
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