4 citations · 8 across the 5 of their papers we have counts for
5 papers
BRIDGE: Learning Brain-Gut Metabolic Evidence for Alzheimer's Disease Diagnosis
Pengli Zhu, Ruxi Chang, Tianliang Yao +7
Alzheimer's disease (AD) diagnosis may benefit from gut metabolic information associated with brain-gut interactions, yet existing models largely analyze cerebral glucose metabolis…
Self-organized clustering, prediction, and superposition of long-term cognitive decline from short-term individual cognitive test scores in Alzheimer's disease
Hiroyuki Sato, Keisuke Suzuki, Atsushi Hashizume +5
Progressive cognitive decline spanning across decades is characteristic of Alzheimer's disease (AD). Various predictive models have been designed to realize its early onset and stu…
A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials
Alyssa M. Vanderbeek, Anna A. Vidovszky, Jessica L. Ross +8
A crucial task for a randomized controlled trial (RCT) is to specify a statistical method that can yield an efficient estimator and powerful test for the treatment effect. A novel…
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Xu Tian, Jin Liu, Hulin Kuang +3
Accurately detecting Alzheimer's disease (AD) and predicting mini-mental state examination (MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI). M…
High-dimensional regression over disease subgroups
Frank Dondelinger, Sach Mukherjee, The Alzheimer's Disease Neuroimaging Initiative
We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where disease subtypes, for example, may differ with respect t…