Introduction to secure data sharing in primary care using the federated causal learning models
This framework provided a feasible solution for primary healthcare workers to safely conduct federated causal inference. It held promise for advancing data-driven precision decision-making in primary care.
Authors
- Miaoshuang Chen
- Shiyang Ma (ORCID: https://orcid.org/0000-0002-4423-5798)
- Zihuan Tang
- Lei Hu (ORCID: https://orcid.org/0000-0002-8971-3116)
- Jiaqiang Liao (ORCID: https://orcid.org/0000-0003-1945-0848)
- Zongqi Chang
- Peng Gong (ORCID: https://orcid.org/0000-0002-7720-3039)
- Xia Jiang
- Jiayuan Li
- Tao Zhang
- Xingyu Zhang
Institutions
- University of Pittsburgh (US)
- Shanghai Jiao Tong University (CN)
- Sichuan University (CN)
- Chengdu University (CN)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2026-03-01
- DOI
- https://doi.org/10.1136/bmjhci-2025-101543
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00