Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.
Journal:
BMC nephrology
Published Date:
Jun 23, 2025
Abstract
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerular mesangium, leading to mesangial hypercellularity, persistent microhematuria, proteinuria, and progressive renal impairment. Given its common occurrence, diagnosis normally involves renal biopsy, with its accompanying risks of bleeding and infection. In this study, multiple machine learning algorithms were used to develop a non-invasive and improved model for the diagnosis of IgAN.
