Application of artificial intelligence in rheumatic disease: a bibliometric analysis-Reference-Cited by-同舟云学术

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Application of artificial intelligence in rheumatic disease: a bibliometric analysis

Published:2024-08-23 Issue:1 Volume:24 Page:
ISSN:1591-9528
Container-title:Clinical and Experimental Medicine
language:en
Short-container-title:Clin Exp Med

Author:

Zhao Junkang,Li Linxin,Li Jie,Zhang Liyun

Funder

the Scientific Research Project of Shanxi Provincial Health Commission

the Scientific Research Foundation for Talent Introduction of Shanxi Bethune Hospital

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10238-024-01453-6.pdf

Reference30 articles.

1. Noncommunicable diseases.World Health Organization. 2023. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed 16 Sept 2023.

2. Fava A, Petri M. Systemic lupus erythematosus: diagnosis and clinical management. J Autoimmun. 2019;96:1–13. https://doi.org/10.1016/j.jaut.2018.11.001.

3. Rida MA, Chandran V. Challenges in the clinical diagnosis of psoriatic arthritis. Clin Immunol. 2020;214:108390.

4. Rosenberg AM. Do we need a new classification of juvenile idiopathic arthritis? Clin Immunol. 2020;211:108298. https://doi.org/10.1016/j.clim.2019.108298.

5. Li Y, Zhao L. Application of machine learning in rheumatic immune diseases. J Healthc Eng. 2022;2022:9273641.

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