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Combining graph and machine learning methods to analyze differences in functional connectivity across sex.
Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems.
Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes.
Alzheimer's disease risk assessment using large-scale machine learning methods.
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
Investigating Predictors of Cognitive Decline Using Machine Learning.
Regional Neurotoxicity & Early Biomarkers of Air Pollution Effects on Brain Aging
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning.
Predicting incident heart failure in women with machine learning: The Women's Health Initiative Cohort.
Investigating Predictors of Preserved Cognitive Function in Older Women Using Machine Learning: Women's Health Initiative Memory Study.
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?
Developing Biomarkers for Early Detection of Alzheimer's Disease Using Machine Learning and Artificial Intelligence