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Dynamic Survival Prediction Using Sparse Longitudinal Images via Multi-Dimensional Functional Principal Component Analysis
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-23 , DOI: 10.1080/10618600.2024.2335182 Haolun Shi 1 , Shu Jiang 2 , Da Ma 3 , Mirza Faisal Beg 4 , Jiguo Cao 1
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-23 , DOI: 10.1080/10618600.2024.2335182 Haolun Shi 1 , Shu Jiang 2 , Da Ma 3 , Mirza Faisal Beg 4 , Jiguo Cao 1
Affiliation
Our work is motivated by predicting the progression of Alzheimer’s disease (AD) based on a series of longitudinally observed brain scan images. Existing works on dynamic prediction for AD focus pri...
中文翻译:
通过多维函数主成分分析使用稀疏纵向图像进行动态生存预测
我们的工作动机是根据一系列纵向观察的脑部扫描图像来预测阿尔茨海默病 (AD) 的进展。 AD 焦点问题动态预测的现有工作...
更新日期:2024-05-24
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
通过多维函数主成分分析使用稀疏纵向图像进行动态生存预测
我们的工作动机是根据一系列纵向观察的脑部扫描图像来预测阿尔茨海默病 (AD) 的进展。 AD 焦点问题动态预测的现有工作...