4 papers
Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
Manar D. Samad, Yina Hou, Megan A. Witherow +1
Electronic health records (EHR) store hundreds of demographic and laboratory variables from large patient populations. Traditional statistical methods have limited capacity in proc…
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Joseph G. Zalameda, Megan A. Witherow, Alexander M. Glandon +2
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data…
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
Megan A. Witherow, Michael L. Evans, Ahmed Temtam +2
Alzheimer's disease (AD), defined as an abnormal buildup of amyloid plaques and tau tangles in the brain can be diagnosed with high accuracy based on protein biomarkers via PET or…
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals
Ahmed Temtam, Megan A. Witherow, Liangsuo Ma +3
Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve pati…