ARMR: Adaptively Responsive Network for Medication Recommendation

Code for our IJCAI-25 paper: Adaptively Responsive Network for Medication Recommendation.

This is an implementation of our model and the baselines in the paper.

Process Data

1. Go to mimiciii and mimiciv to download the raw datasets (You may need to get the certificate)

2. For a fair comparison, we use the same pre-processing scripts used in Carmen, please refer to Carmen for more information. To make it more intuitive, we convert the pkl data to json.

Train & Test Model

./run.sh

Citation

If the repo and the paper are useful for you, it is appreciable to cite our paper:

@inproceedings{wu2025armr,
  title={ARMR: Adaptively Responsive Network for Medication Recommendation},
  author={Wu, Feiyue and Wu, Tianxing and Jing, Shenqi},
    booktitle = {Proceedings of the 34th International Joint Conference on
               Artificial Intelligence, {IJCAI} 2025},
    year = {2025}
}

Thanks

The code refers to the following repos: LEADER, COGNet, Carmen, SafeDrug, GAMENet, MoleRec. Be sure to check it out!