Agent-Based Decision Support for Pain Management in Primary Care Settings

Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen

IJCAI 2019 pp. 6521-6523

doi:10.24963/IJCAI.2019/943 /ijcai/2019/guo2019ijcai-agent/

Abstract

The lack of systematic pain management training and support among primary care physicians (PCPs) limits their ability to provide quality care for patients with pain. Here, we demonstrate an Agent-based Clinical Decision Support System to empower PCPs to leverage knowledge from pain specialists. The system learns a general-purpose representation space on patients, automatically diagnoses pain, recommends therapy and medicine, and suggests a referral program to PCPs in their decision-making tasks.

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Cite

Text

Guo et al. "Agent-Based Decision Support for Pain Management in Primary Care Settings." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/943

Markdown

[Guo et al. "Agent-Based Decision Support for Pain Management in Primary Care Settings." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/guo2019ijcai-agent/) doi:10.24963/IJCAI.2019/943

BibTeX

@inproceedings{guo2019ijcai-agent,
  title     = {{Agent-Based Decision Support for Pain Management in Primary Care Settings}},
  author    = {Guo, Xu and Yu, Han and Miao, Chunyan and Chen, Yiqiang},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {6521-6523},
  doi       = {10.24963/IJCAI.2019/943},
  url       = {https://mlanthology.org/ijcai/2019/guo2019ijcai-agent/}
}