Development of machine learning models for detection of vision threatening Behcet's disease (BD) using Egyptian College of Rheumatology (ECR)-BD cohort.

ABSTRACT:

Background

Eye lesions, occur in nearly half of patients with Behçet's Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development of vision-threatening BD (VTBD). Using an Egyptian college of rheumatology (ECR)-BD, a national cohort of BD patients, we examined the performance of machine-learning (ML) models in predicting VTBD compared to logistic regression (LR) analysis. We identified the risk factors for the development of VTBD.

Methods

Patients with complete ocular data were included. VTBD was determined by the presence of any retinal disease, optic nerve involvement, or occurrence of blindness. Various ML-models were developed and examined for VTBD prediction. The Shapley additive

SUBMITTER: Hammam N 

PROVIDER: S-EPMC9938580 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature