A Machine Learning Approach to Predict Cognitive Decline in Alzheimer’s Disease Clinical Trials

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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Abstract

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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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
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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