Identification of biomarkers by machine learning classifiers to assist diagnose rheumatoid arthritis-associated interstitial lung disease
Abstract Background This study aimed to search for blood biomarkers among the profiles of patients with RA-ILD by using machine learning classifiers and probe correlations between the markers and the characteristics of RA-ILD. Methods A total of 153 RA patients were enrolled, including 75 RA-ILD and...
Main Authors: | Yan Qin, Yanlin Wang, Fanxing Meng, Min Feng, Xiangcong Zhao, Chong Gao, Jing Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-05-01
|
Series: | Arthritis Research & Therapy |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13075-022-02800-2 |
Similar Items
-
Significance of serum Krebs von den Lungen-6 in systemic sclerosis
by: Noha Hosni Ibrahim, et al.
Published: (2023-11-01) -
Serum Krebs von den Lungen (KL-6) level as a marker of exacerbation of interstitial lung diseases
by: Zainab H. Saeed, et al.
Published: (2020-11-01) -
Circulatory Serum Krebs von Den Lungen-6 and Surfactant Protein-D Concentrations Predict Interstitial Lung Disease Progression and Mortality
by: Meghna Rai, et al.
Published: (2023-04-01) -
Blood Krebs von den Lungen-6 levels predict treatment response to antifibrotic therapy in patients with idiopathic pulmonary fibrosis
by: Myeong Geun Choi, et al.
Published: (2022-12-01) -
KL-6 as an Immunological Biomarker Predicts the Severity, Progression, Acute Exacerbation, and Poor Outcomes of Interstitial Lung Disease: A Systematic Review and Meta-Analysis
by: Tao Zhang, et al.
Published: (2021-12-01)