This invention discloses a
dynamic monitoring and analysis
system for
immune inflammation in patients with
glomerular diseases, applicable to the field of
medical testing and
data analysis. The
system includes a
data acquisition module, a multi-
omics detection module, a
dynamic data analysis module, a
visualization and reporting module, and an early warning module. The multi-
omics detection module integrates the joint detection of
immune inflammation-related proteins (such as CCL11 and CXCL9),
metabolic markers (such as N-acetyl-L-
leucine), and
oxidative stress markers (such as RAC2). The
dynamic data analysis module is built based on the XGBoost
algorithm and calculates a "dynamic immune
score" to quantitatively assess
disease activity and predict trends. This invention overcomes the shortcomings of traditional single-marker methods, such as poor specificity and inability to dynamically monitor, achieving non-invasive, multi-dimensional, and real-time monitoring of the immune inflammatory status of
glomerular diseases, providing decision support for precise
clinical diagnosis and treatment.