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【ChiCTR2000035149】Machine‐learning approach to determine retinal characteristics for hemoglobin screening
ChiCTR2000035149
正在进行
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2020-08-02
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血紅蛋白水準
Machine‐learning approach to determine retinal characteristics for hemoglobin screening
Machine‐learning approach to determine retinal characteristics for hemoglobin screening
1. To identify specific retinal image characteristics that significantly associated with anemia using machine-learning method; 2. Determine a classification model for anemia based on a machine-learning approach as well as from specific set of retinal characteristics.
连续入组
其它
N/A
Nil
N/A
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300
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2020-06-12
2021-07-31
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1. Age>18 years; 2. Willing to sign the inform consent; 3. Willing to comply with procedures required in the protocol; 4. Completed a fingerstick hemoglobin 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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