The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients
Abstract Background Diabetic kidney disease (DKD) has become the largest cause of end-stage kidney disease. Early and accurate detection of DKD is beneficial for patients. The present detection depends on the measurement of albuminuria or the estimated glomerular filtration rate, which is invasive a...
| 發表在: | BMC Medical Informatics and Decision Making |
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| Main Authors: | , , , , , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
BMC
2023-10-01
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1186/s12911-023-02343-9 |
