31 citations · 66 across the 7 of their papers we have counts for
7 papers
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal +7
Alzheimer's disease (AD) is the fifth-leading cause of death among Americans aged 65 and older. Screening and early detection of AD and related dementias (ADRD) are critical for ti…
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss
Ali Pourramezan Fard, Mohammad H. Mahoor, Muath Alsuhaibani +1
This paper presents a deep learning method using Natural Language Processing (NLP) techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive (NC) cond…
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Muath Alsuhaibani, Hiroko H. Dodge, Mohammad H. Mahoor
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve ear…
MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor
Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionna…
Unstructured Primary Outcome in Randomized Controlled Trials
Daniel Taylor-Rodriguez, David Lovitz, Nora Mattek +4
The primary outcome of Randomized clinical Trials (RCTs) are typically dichotomous, continuous, multivariate continuous, or time-to-event. However, what if this outcome is unstruct…
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge +2
In recent years, increasingly augmentation of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportuni…
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation
Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu +2
Mild cognitive impairment (MCI) is a prodromal phase in the progression from normal aging to dementia, especially Alzheimers disease. Even though there is mild cognitive decline in…