ChiCTR2000039984
正在进行
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2020-11-16
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Hemoglobin level
Validation for hemoglobin screening using machine-learning approach with retinal characteristics
Validation for hemoglobin screening using machine-learning approach with retinal characteristics
1. To confirm the retinal image characteristics that significantly associated with anemia using machine-learning method; 2. To validate the final classification model for anemia based on a machine-learning approach as well as from specific set of retinal characteristics; 3.To compare the results of a fully automatic fundus camera (DRSPlus) to the current non-mydriatic fundus camera (CR2-AF) and evaluate the accuracy and efficiency for future potential.
连续入组
其它
No
N/A
N/A
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1000
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2020-10-16
2022-11-30
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1. Aged>18 years; 2. Willing to sign the inform consent; 3. Willing to comply with procedures required in the protocol; 4. Completed a fingerstick haemoglobin test.；
登录查看1. Poor retinal images quality that cannot be used in the analysis; 2. Subjects with other eye diseases which are not suitable for retinal imaging, such as severe cataract, glaucoma, atretopsia, corneal plague; 3. Subjects are distress with flashlight or have experience with photosensitive seizure; 4. Unwillingness or inability to comply with procedures required in the protocol.；
登录查看The Centre for Clinical Research and Biostatistics, The Chinese University of Hong Kong
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