3 papers
cs.CL2025
Prediction of mortality and resource utilization in critical care: a deep learning approach using multimodal electronic health records with natural language processing techniques
Yucheng Ruan, Xiang Lan, Daniel J. Tan +2
Background Predicting mortality and resource utilization from electronic health records (EHRs) is challenging yet crucial for optimizing patient outcomes and managing costs in inte…
cs.CL2025
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
Yucheng Ruan, Xiang Lan, Daniel J. Tan +2
Medical tabular data, abundant in Electronic Health Records (EHRs), is a valuable resource for diverse medical tasks such as risk prediction. While deep learning approaches, partic…
cs.IT2025
Towards accurate and reliable ICU outcome prediction: a multimodal learning framework based on belief function theory using structured EHRs and free-text notes
Yucheng Ruan, Daniel J. Tan, See Kiong Ng +2
Accurate Intensive Care Unit (ICU) outcome prediction is critical for improving patient treatment quality and ICU resource allocation. Existing research mainly focuses on structure…