
Charumathi Sabanayagam
Articles
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Nov 1, 2024 |
mdpi.com | Charumathi Sabanayagam |Feng J He |Ching-Yu Cheng |Miao Li
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Oct 6, 2024 |
nature.com | Charumathi Sabanayagam
AbstractTo address challenges in screening for chronic kidney disease (CKD), we devised a deep learning-based CKD screening model named UWF-CKDS. It utilizes ultra-wide-field (UWF) fundus images to predict the presence of CKD. We validated the model with data from 23 tertiary hospitals across China.
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Sep 14, 2023 |
elifesciences.org | Charumathi Sabanayagam |Feng J He |Simon Nusinovici |Jialiang Li
Data availability The authors declare that the data supporting the findings of this study are available within the article and its supplementary materials. The individual participant-level data cannot be shared publicly due to privacy and confidentiality concerns. However, de-identified data may be available upon request with a project proposal to qualified individuals, subject to approval by the Singapore Eye Research Institute and access will require a data sharing agreement.
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Aug 2, 2023 |
nature.com | Yanick Hagemeijer |Albert Smith |Claudia Schurmann |Jennifer Brody |Gardar Sveinbjornsson |Cécile Lecoeur | +82 more
Method detailsPopulationsThe full RHR meta-analysis included 100 studies with data on RHR in up to 835,465 individuals. RHR was obtained from ECG in 54 studies, from pulse rate in 31 studies (of which seven were self-measured by the participants), from blood pressure monitor in nine studies, from electronic medical records in three studies, from manual measurement in one study and through a combination of multiple of the before mentioned methods in two studies.
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