Prognostic prediction of idiopathic membranous nephropathy using interpretable machine learning.

ABSTRACT:

Background

Established prognostic models of idiopathic membranous nephropathy (IMN) were limited to traditional modeling methods and did not comprehensively consider clinical and pathological patient data. Based on the electronic medical record (EMR) system, machine learning (ML) was used to construct a risk prediction model for the prognosis of IMN.

Methods

Data from 418 patients with IMN were diagnosed by renal biopsy at the Fifth Clinical Medical College of Shanxi Medical University. Fifty-nine medical features of the patients could be obtained from EMR, and prediction models were established based on five ML algorithms. The area under the curve, recall rate, accuracy, and F1 were used to evaluate and compare the performances of the models. Shapley additive explanation (S

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10512811 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature