mlsanityData to 14 Oct 2026

Conditional Generation Net for Medication Recommendation

arXiv 2202.06588 ↗First posted 14 Feb 2022cs.LGcited by 30

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Abstract (arXiv)

Medication recommendation targets to provide a proper set of medicines according to patients' diagnoses, which is a critical task in clinics. Currently, the recommendation is manually conducted by doctors. However, for complicated cases, like patients with multiple diseases at the same time, it's difficult to propose a considerate recommendation even for experienced doctors. This urges the emergence of automatic medication recommendation which can help treat the diagnosed diseases without causing harmful drug-drug interactions.Due to the clinical value, medication recommendation has attracted growing research interests.Existing works mainly formulate medication recommendation as a multi-label classification task to predict the set of medicines. In this paper, we propose the Conditional Generation Net (COGNet) which introduces a novel copy-or-predict mechanism to generate the set of medicines. Given a patient, the proposed model first retrieves his or her historical diagnoses and medication recommendations and mines their relationship with current diagnoses. Then in predicting each medicine, the proposed model decides whether to copy a medicine from previous recommendations or to predict a new one. This process is quite similar to the decision process of human doctors. We validate the proposed model on the public MIMIC data set, and the experimental results show that the proposed model can outperform state-of-the-art approaches.

Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). Builds on 19 of its 32 references that are in the map. First posted on arXiv 14 Feb 2022.

Builds on

19 of 32 references.

References · 19

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7 more
  1. 2021Change Matters: Medication Change Prediction with Recurrent Residual Networkscited by 38
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 6; 2024: 8; 2025: 8; 2026: 7.

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  1. 2024Large Language Model Distilling Medication Recommendation Modelcited by 26
  2. 2024Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patientscited by 12
  3. 2023VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendationcited by 8
  4. 2023SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendationcited by 7
  5. 2024CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health statecited by 7
  6. 2024Contrastive Learning on Medical Intents for Sequential Prescription Recommendationcited by 7
  7. 2023StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendationcited by 6
  8. 2024RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatmentcited by 6
  9. 2025Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseasescited by 5
  10. 2025Fine-grained List-wise Alignment for Generative Medication Recommendationcited by 5
  11. 2025Natural Language-Assisted Multi-modal Medication Recommendationcited by 4
  12. 2024CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learningcited by 3
18 more
  1. 2026HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationshipscited by 3
  2. 2022Knowledge-Driven New Drug Recommendationcited by 2
  3. 2023DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learningcited by 2
  4. 2023ACDNet: Attention-guided Collaborative Decision Network for Effective Medication Recommendationcited by 2
  5. 2024OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendationcited by 2
  6. 2026SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendationcited by 2
  7. 2025SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimescited by 1
  8. 2025ARMR: Adaptively Responsive Network for Medication Recommendationcited by 1
  9. 2025Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Recordscited by 1
  10. 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendationcited by 1
  11. 2026RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendationcited by 1
  12. 2026RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendationcited by 1
  13. 2023Knowledge-Induced Medicine Prescribing Network for Medication Recommendationcited by 0
  14. 2024BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendationscited by 0
  15. 2025Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendationcited by 0
  16. 2025CafeMed: Causal Attention Fusion Enhanced Medication Recommendationcited by 0
  17. 2026HADRec: A Hierarchy-Aware Drug Recommendation Framework by Fusing Molecular Knowledge and Electronic Health Recordcited by 0
  18. 2026ARMED: Adaptive Retrieval-Augmented Medication Recommendationcited by 0