ChiCTR2300078129
尚未开始
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2023-11-29
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anaemia
機器學習方法確定視網膜特徵以進行血紅素篩選的驗證研究
機器學習方法確定視網膜特徵以進行血紅素篩選的驗證研究
Primary 1. To confirm the retinal image characteristics significantly associated with anaemia using the machine-learning method. Secondary 2. To validate the final classification model for anaemia based on a machine-learning approach and a specific set of retinal characteristics.
横断面
探索性研究/预试验
N/A
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N/A
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80
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2023-12-01
2025-05-31
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Age>/=18. Haemoglobin result is ≤ 8 g/dL and can have the retinal image captured within 7 days from the blood test. Willing to sign the informed consent. Willing to comply with procedures required in the protocol.；
请登录查看Poor retinal images quality that cannot be used in the analysis. Subjects with other eye diseases are unsuitable for retinal imaging, such as severe cataracts, glaucoma, atretopsia, and corneal plague. Subjects are distressed with a flashlight or have experience with photosensitive seizures. Unwillingness or inability to comply with procedures required in the protocol.；
请登录查看Department of Obstetrics & Gynaecology, Kwong Wah Hospital
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