ChiCTR2300077027
正在进行
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2023-10-26
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自閉症譜系障礙和幼兒總體發育延遲
機器學習方法進行視網膜圖像分析的自閉症譜系障礙(ASD)和幼兒總體發育延遲(GDD)的分類
機器學習方法進行視網膜圖像分析的自閉症譜系障礙(ASD)和幼兒總體發育延遲(GDD)的分類
1. To determine the ARIA estimated retinal characteristics for global developmental delay (GDD), autism spectrum disorder (ASD) and control group. Compare the retinal characteristics among the three groups; 2. To determine a classification model using retinal images for GDD versus control group; 3. To determine a classification model using retinal images for ASD versus control group; 4. To study the relationship between GDD and ASD based on the retinal images models.
病例对照研究
探索性研究/预试验
NA
无
The Chinese University of Hong Kong
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200;400
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2023-04-19
2025-03-31
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1. Children aged 2-6 years old; 2. Written consents by subjects' legal guardian/next-of-kin.;
请登录查看1. Poor retinal image quality that cannot be used in the analysis; 2. Other eye diseases that are not suitable for retinal imaging include congenital cataracts and retinopathy of prematurity; 3. Children are distressed with a flashlight or have experience with photosensitive seizures; 4. Written consents not given by subjects' legal guardian/next-of-kin.;
请登录查看Centre for Clinical Research and Biostatistics, The Chinese University of Hong Kong
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Centre for Clinical Research and Biostatistics, The Chinese University of Hong Kong的其他临床试验
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- 機器學習方法進行視網膜圖像分析的自閉症譜系障礙(ASD)和幼兒總體發育延遲(GDD)的分類
- Validation for hemoglobin screening using machine-learning approach with retinal characteristics
- A Pilot Study to develop automatic retinal image analysis for screening of major depression disorder
- Machine‐learning approach to determine retinal characteristics for hemoglobin screening
- A multiple health risk assessment using automatic retinal image analysis (ARIA) for the community
- Early detection of dementia in subjects with type 2 diabetes based on white matter hyperintensities estimated by automatic retinal image analysis (ARIA) method
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