A comprehensive overview of psoriatic research over the past 20 years: machine learning-based bibliometric analysis.

Yu, Chenyang; Huang, Yingzhao; Yan, Wei; Jiang, Xian

Yu, Chenyang; Huang, Yingzhao; Yan, Wei; Jiang, Xian.

Affiliation

Yu C; Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China.
Huang Y; Laboratory of Dermatology, Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yan W; Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Jiang X; Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China.

Front Immunol ; 14: 1272080, 2023.

Article in En | MEDLINE | ID: mdl-37954610

Subject(s)

Arthritis, Psoriatic; Dermatitis; Psoriasis; Humans; United States; Psoriasis/pathology; Bibliometrics; Machine Learning; Inflammation

Key words

bibliometric; latent Dirichlet allocation (LDA) algorithm; machine learning; natural language processing (NLP); psoriasis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psoriasis / Arthritis, Psoriatic / Dermatitis Type of study: Systematic_reviews Limits: Humans Country/Region as subject: America do norte Language: En Journal: Front Immunol Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland

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