预测阿尔茨海默病临床试验中认知能力下降的机器学习方法

Bhargav T. Nallapu, Kellen K. Petersen, Tianchen Qian, Idris Demirsoy, Elham Ghanbarian, Christos Davatzikos, Richard B. Lipton, Ali Ezzati, Alzheimer’s Disease Neuroimaging Initiative
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引用次数: 0

摘要

背景 在阿尔茨海默病(AD)治疗试验中,被随机分配到安慰剂组的患者中有 40% 在 80 周的随访中未出现认知能力下降。从阿尔茨海默病随机临床试验(RCT)的两臂中识别并排除这些患者,有可能提高检测治疗效果的能力。
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A Machine Learning Approach to Predict Cognitive Decline in Alzheimer’s Disease Clinical Trials
Background Of persons randomized to the placebo arm of Alzheimer’s Disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals from both arms of randomized clinical trials (RCTs) of AD has the potential to increase power to detect treatment effects.
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