3 papers
cs.LG2026
PaReGTA: An LLM-based EHR Data Encoding Approach to Capture Temporal Information
Kihyuk Yoon, Lingchao Mao, Catherine Chong +3
Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot or count-based representations, while sequence models can be costly and data-hun…
cs.LG2025
Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
Xi Mao, Zhendong Wang, Jingyu Li +4
Early detection of Alzheimer's disease (AD) is crucial because its neurodegenerative effects are irreversible, and neuropathologic and social-behavioral risk factors accumulate yea…
cs.CL2025
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech
Jingyu Li, Lingchao Mao, Hairong Wang +3
Background: Alzheimer's disease and related dementias (ADRD) are progressive neurodegenerative conditions where early detection is vital for timely intervention and care. Spontaneo…