8 citations · 11 across the 6 of their papers we have counts for
6 papers
A Logic-based Temporal Cohort Discovery Engine: Algorithms, Indices, and Experimental Results on the National Sleep Research Resource
Yan Huang, Xiaojin Li, Licong Cui +1
Large sleep-study repositories contain rich time-stamped physiological annotations, but cohort discovery is still commonly implemented as ad hoc scripts or scalar-index filters. We…
Ensemble Logic for Symbolic Representation of Sleep Medicine Guidelines
Jiahao Fan, Xiaojin Li, Yan Huang +3
The American Academy of Sleep Medicine (AASM) Manual is the clinical standard for polysomnography (PSG) scoring, but its narrative rules can admit multiple reasonable interpretatio…
Scaling Up Formal Representation of Clinical Trial Protocols in Ensemble Logic Using LLMs: A Preliminary Study
Yan Huang, Xubing Hao, Xiaojin Li +4
The reliance on unstructured free text for documenting clinical trial protocols creates a significant barrier to automated reasoning, cohort discovery, and trial simulation. The la…
AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials
Zenan Sun, Rashmie Abeysinghe, Xiaojin Li +5
Objective This study introduces the Alzheimer's Disease Common Data Element Ontology for Clinical Trials (AD-CDO), a lightweight, semantically enriched ontology designed to represe…
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization
Yejin Kim, Xiaoqian Jiang, Luyao Chen +2
Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is…
A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures
X. Yao, X. Li, Q. Ye +3
Identifying epileptic seizures through analysis of the electroencephalography (EEG) signal becomes a standard method for the diagnosis of epilepsy. Manual seizure identification on…