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
Machine learning models can use image and text data to predict the number of years since diabetes diagnosis; such model can be applied to new patients to predict, approximately, how long the new patient may have lived with diabetes unknowingly. We aimed to develop a model to predict self-reported diabetes duration.
Source: Primary Care Diabetes - Category: Primary Care Authors: Rodrigo M. Carrillo-Larco, Gusseppe Bravo-Rocca, Manuel Castillo-Cara, Xiaolin Xu, Antonio Bernabe-Ortiz Source Type: research