5 papers
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation
Xiang Li, Haixu Ma, Guanyong Wu +3
Medication recommendation is crucial in healthcare, offering effective treatments based on patient's electronic health records (EHR). Previous studies show that integrating more me…
Medication Recommendation via Dual Molecular Modalities and Multi-Step Enhancement
Shi Mu, Chen Li, Xiang Li +1
Existing works based on molecular knowledge neglect the 3D geometric structure of molecules and fail to learn the high-dimensional information of medications, leading to structural…
CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
Shunpan Liang, Xiang Li, Shi Mu +4
Medication recommendation aims to integrate patients' long-term health records to provide accurate and safe medication combinations for specific health states. Existing methods oft…
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state
Xiang Li, Shunpan Liang, Yu Lei +3
Medication recommendation systems are developed to recommend suitable medications tailored to specific patient. Previous researches primarily focus on learning medication represent…
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
Shunpan Liang, Junjie Zhao, Chen Li +1
Multi-behavioral recommendation optimizes user experiences by providing users with more accurate choices based on their diverse behaviors, such as view, add to cart, and purchase.…