Development and validation of predictive models for diabetic retinopathy using machine learning.
<h4>Objective</h4>This study aimed to develop and compare machine learning models for predicting diabetic retinopathy (DR) using clinical and biochemical data, specifically logistic regression, random forest, XGBoost, and neural networks.<h4>Methods</h4>A dataset of 3,000 dia...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318226 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|