5 papers · 1 filter
FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu +3
Foundation models pretrained on physiological data such as photoplethysmography (PPG) signals are increasingly used to improve heart rate (HR) prediction across diverse settings. F…
Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models
Victoria Yan, Honor Chotkowski, Fengran Wang +6
Cognitive assessments require normative data as essential benchmarks for evaluating individual performance. Hence, developing new cognitive tests based on novel image stimuli is ch…
Learning ECG Representations via Poly-Window Contrastive Learning
Yi Yuan, Joseph Van Duyn, Runze Yan +7
Electrocardiogram (ECG) analysis is foundational for cardiovascular disease diagnosis, yet the performance of deep learning models is often constrained by limited access to annotat…
Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
Yilang Ding, Jiawen Ren, Jiaying Lu +4
Alzheimer's disease is a progressive neurodegenerative disorder that remains challenging to predict due to its multifactorial etiology and the complexity of multimodal clinical dat…
Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer
Jiaying Lu, Stephanie R. Brown, Songyuan Liu +8
Early prediction of pediatric cardiac arrest (CA) is critical for timely intervention in high-risk intensive care settings. We introduce PedCA-FT, a novel transformer-based framewo…