Bayesian learning-based agent negotiation model to support doctor-patient shared decision making
BLFCAN reduces communication time and cost, helps avoid potential conflicts, and reduces the impact of emotions and biases on decision-making. In addition, the BLFCAN model improves the agreement satisfaction of both parties and the total social welfare.
Authors
- Ping Lü (ORCID: https://orcid.org/0000-0002-0199-3783)
- LU Jiang-tao
- Yong Liu (ORCID: https://orcid.org/0000-0003-0172-9867)
- Fei-Ping Hong
- Kai-Biao Lin (ORCID: https://orcid.org/0000-0003-2648-2960)
- Xin Chen (ORCID: https://orcid.org/0000-0001-5568-2190)
Institutions
- Xiamen University (CN)
- Children’s Hospital of Fudan University Xiamen Branch (CN)
- Xiamen Maternal and Child Health Hospital (CN)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1186/s12911-024-02839-y
- Citations
- 2
- Primary Topic
- Multi-Agent Systems and Negotiation
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- Xiamen University of Technology
- Xiamen University