Method, system and device for predicting membranous nephropathy based on machine learning

Abstract

The invention provides a method, system and device for predicting membranous nephropathy based on machine learning, and the method comprises the steps: data collection, data preprocessing, feature screening, prediction model construction, and prediction model testing and evaluation: obtaining the data information of a to-be-retrieved patient, inputting the data information of the to-be-retrieved patient into a prediction model, and carrying out the prediction of membranous nephropathy. The prediction model predicts the membranous nephropathy according to the data information of the patient to be retrieved, in a word, the prediction model for membranous nephropathy can be developed and verified by using a machine learning method, high-efficiency and high-accuracy prediction can be realized, and the method has important research significance and use value for early treatment and prevention of membranous nephropathy.

Description

technical field [0001] The present invention relates to the technical field of biological detection, in particular to a method, system and device for predicting membranous nephropathy based on machine learning. Background technique [0002] Membranous nephropathy (MN), also known as membranous glomerulonephritis, is characterized by diffuse immune complex deposition under the glomerular basement membrane epithelial cells and diffuse thickening of the basement membrane. The main clinical manifestation is nephrotic syndrome (NS) or asymptomatic proteinuria. Membranous nephropathy can be primary or secondary to various diseases, such as infection (hepatitis B, C virus), systemic disease (such as lupus erythematosus), drug treatment (such as gold, penicillamine, etc.) and Malignant tumor. The disease has the characteristics of repeated course of disease and chronic delay. [0003] In recent years, with economic development and environmental changes, the spectrum of kidney dis...

AI Technical Summary

Problems solved by technology

Early and accurate diagnosis is the basis of treatment. Renal biopsy pathology is still the gold standard for the diagnosis of membranous nephropathy. However, renal biopsy is an invasive operation with certain medical risks. The limitations of technical means and conditions also determine the limitations of its application.

[0004] If it can be predicted in advance, it is very helpful for the early treatment and recovery of patients, but at present, there are few studies on the prediction of membranous nephropathy

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