Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative.

ABSTRACT:

Purpose

Advances in artificial intelligence have enabled the development of predictive models for glaucoma. However, most work is single-center and uncertainty exists regarding the generalizability of such models. The purpose of this study was to build and evaluate machine learning (ML) approaches to predict glaucoma progression requiring surgery using data from a large multicenter consortium of electronic health records (EHR).

Design

Cohort study.

Participants

Thirty-six thousand five hundred forty-eight patients with glaucoma, as identified by International Classification of Diseases (ICD) codes from 6 academic eye centers participating in the Sight OUtcomes Research Collaborative (SOURCE).

Methods

We developed ML models to predict whether patients with glauc

SUBMITTER: Wang SY 

PROVIDER: S-EPMC10838906 | biostudies-literature | 2024 May-Jun

REPOSITORIES: biostudies-literature