Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression

Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression

Abstract Background HLA-B27 positivity is normal in patients undergoing rheumatic diseases. The diagnosis of many diseases requires an HLA-B27 examination. Methods This study screened totally 1503 patients who underwent HLA-B27 examination, liver/kidney function tests, and complete blood routine exa...

Full description

Bibliographic Details
Main Authors: Jichong Zhu, Weiming Tan, Xinli Zhan, Qing Lu, Tuo Liang, JieJiang, Hao Li, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Yuanlin Yao, Shian Liao, Chaojie Yu, Liyi Chen, Chong Liu
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Immunology
Subjects:
HLA-B27
Machine learning algorithms
Prediction model
Nomogram
Immunological diseases
Online Access:https://doi.org/10.1186/s12865-023-00566-z

Internet

https://doi.org/10.1186/s12865-023-00566-z

Similar Items