Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis

INTRODUCTION: Undiagnosed diabetes is a global health issue. Previous studies have estimated that about 24.1%–75.1% of all diabetes cases are undiagnosed, leading to more diabetic complications and inducing huge healthcare costs. Many current methods for diabetes diagnosis rely on metabolic indices...

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Detalles Bibliográficos
Autores principales: Zee, Benny, Lee, Jack, Lai, Maria, Chee, Peter, Rafferty, James, Thomas, Rebecca, Owens, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Emerging Technologies, Pharmacology and Therapeutics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809219/
https://www.ncbi.nlm.nih.gov/pubmed/36549873
http://dx.doi.org/10.1136/bmjdrc-2022-002914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809219/
https://www.ncbi.nlm.nih.gov/pubmed/36549873
http://dx.doi.org/10.1136/bmjdrc-2022-002914

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