5 papers
PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4
Personalized healthcare decisions require reasoning about how physiological and behavioral variables influence an individual patient over time. Existing temporal causal discovery m…
T2D-Bench: Evidence-Gated Evaluation of LLM Outputs for Type 2 Diabetes Using a Multi-Layer Clinical-Lifestyle Knowledge Graph
Saba A. Farahani, Hung Cao, Ramesh Jain +1
Large language models (LLMs) can produce clinically fluent recommendations for type 2 diabetes while failing to satisfy guideline constraints or explicitly justify lifestyle-relate…
Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health
Saba A. Farahani, Elahe Khatibi, Manoj Vishwanath +2
Objective sleep assessment relies on polysomnography (PSG), yet clinical impact is often better reflected in patient-reported outcomes (PROs) such as sleepiness and fatigue. Existi…
Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology
Saba A. Farahani, Elahe Khatibi, Thomas D. Hughes +3
Pain is assessed differently by patients, nurses, and clinicians, yet most computational approaches assume a single ground-truth label - effectively ignoring who is doing the ratin…
DeepTokenEEG Enhancing Mild Cognitive Impairment and Alzheimers Classification via Tokenized EEG Features
Thinh Nguyen-Quang, Minh Long Ngo, Ngoc-Son Nguyen +7
The detection of Alzheimers disease (AD) is considered crucial, as timely intervention can improve patient outcomes. Electroencephalogram (EEG)-based diagnosis has been recognized…