Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling
Further medical analysis underscores the efficacy of our approach, demonstrating the potential of EHR-based systems in AMR recommendation.
Authors
- Yasuko Matsubara (ORCID: https://orcid.org/0000-0003-3566-7721)
- Xin Liu (ORCID: https://orcid.org/0000-0003-4090-1703)
- Pei Gao (ORCID: https://orcid.org/0000-0003-4410-8075)
- Yasushi Sakurai (ORCID: https://orcid.org/0000-0001-7258-2642)
- Peng Chen (ORCID: https://orcid.org/0000-0003-1244-3151)
- Zheng Chen (ORCID: https://orcid.org/0000-0001-6776-7159)
Institutions
- Osaka Gakuin University (JP)
- RIKEN Center for Computational Science (JP)
- National Institute of Advanced Industrial Science and Technology (JP)
- Nara Institute of Science and Technology (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108616
- Citations
- 3
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 2.42