A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes - An exploratory analysis

CONCLUSIONS: The machine learning model had acceptable accuracy and F1 score, and correctly classified more than half of the patients according to diabetes duration. Using large foundational models to extract image and text embeddings seems a feasible and efficient approach to predict years living with self-reported diabetes.PMID:38616442 | DOI:10.1016/j.pcd.2024.04.002

Source: Primary Care - April 15, 2024 Category: Primary Care Authors: Rodrigo M Carrillo-Larco Gusseppe Bravo-Rocca Manuel Castillo-Cara Xiaolin Xu Antonio Bernabe-Ortiz Source Type: research