20 citations · 20 across the 4 of their papers we have counts for
4 papers
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
Shuai Niu, Jing Ma, Hongzhan Lin +6
Large language models (LLMs) have shown remarkable performance in vision-language tasks, but their application in the medical field remains underexplored, particularly for integrat…
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
Shuai Niu, Jing Ma, Hongzhan Lin +5
Interpretation is critical for disease diagnosis, but existing models struggle to balance predictive accuracy with human-understandable rationales. While large language models (LLM…
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Shuai Niu, Yunya Song, Qing Yin +2
Electronic health records (EHRs) contain patients' heterogeneous data that are collected from medical providers involved in the patient's care, including medical notes, clinical ev…
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Shuai Niu, Qing Yin, Yunya Song +2
Disease risk prediction has attracted increasing attention in the field of modern healthcare, especially with the latest advances in artificial intelligence (AI). Electronic health…