Published in arxiv, 2024
This paper proposes the use of causal inference to enable personalized patient representation in medication recommendation.
Recommended citation: Li X, Liang S, Lei Y, et al. Relationship Discovery for Drug Recommendation[J]. arXiv preprint arXiv: 2404.12228, 2024. https://arxiv.org/abs/2404.12228
Published in arxiv, 2024
This article proposes a dual-granularity framework for medication recommendation that utilizes causal inference to combine molecular-level and entity-level relationships, and designs a causality-based bias correction approach.
Recommended citation: Liang S, Li X, Li C, et al. Dual-Granularity Medication Recommendation Based on Causal Inference[J]. arXiv preprint arXiv:2403.00880, 2024. https://arxiv.org/abs/2403.00880
Published in Knowledge-Based Systems, 2024
This article aims to address the sparsity of entities in medication recommendations.
Recommended citation: Li X, Liang S, Hou Y, et al. StratMed: Relevance stratification between biomedical entities for sparsity on medication recommendation[J]. Knowledge-Based Systems, 2024, 284: 111239. https://linkinghub.elsevier.com/retrieve/pii/S0950705123009887