Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design.
- DOI
- 10.1136/bmjopen-2023-078609
- Published
- 2024 Oct 8
- Container
- BMJ open
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1136/bmjopen-2023-078609,
title = {Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design.},
author = {Qian Y and Li L and Nakashima Y and Nagahara H and Nishida K and Kawasaki R},
year = {2024},
journal = {BMJ open},
doi = {10.1136/bmjopen-2023-078609},
url = {https://doi.org/10.1136/bmjopen-2023-078609}
}RIS
TY - JOUR TI - Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design. AU - Qian Y AU - Li L AU - Nakashima Y AU - Nagahara H AU - Nishida K AU - Kawasaki R PY - 2024 JO - BMJ open DO - 10.1136/bmjopen-2023-078609 UR - https://doi.org/10.1136/bmjopen-2023-078609 ER -
APA
Y, Q., L, L., Y, N., H, N., K, N., & R, K. (2024). Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design.. BMJ open. https://doi.org/10.1136/bmjopen-2023-078609
Source records
- pubmed · retrieved 2026-09-25T20:03:18.273Z
- europe-pmc · retrieved 2026-09-25T20:03:18.298Z
- doaj · retrieved 2026-09-25T20:03:18.300Z