From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital
- DOI
- 10.34133/csbj.0185
- Published
- 2026-01-01
- Container
- Computational and Structural Biotechnology Journal
- Publisher
- American Association for the Advancement of Science (AAAS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.34133/csbj.0185,
title = {From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital},
author = {Dan Han and Xin Shu and Yang Hu and Hao Zou and Chong Wang and Xu Peng},
year = {2026},
journal = {Computational and Structural Biotechnology Journal},
doi = {10.34133/csbj.0185},
url = {https://doi.org/10.34133/csbj.0185}
}RIS
TY - JOUR TI - From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital AU - Dan Han AU - Xin Shu AU - Yang Hu AU - Hao Zou AU - Chong Wang AU - Xu Peng PY - 2026 JO - Computational and Structural Biotechnology Journal DO - 10.34133/csbj.0185 UR - https://doi.org/10.34133/csbj.0185 ER -
APA
Han, D., Shu, X., Hu, Y., Zou, H., Wang, C., & Peng, X. (2026). From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital. Computational and Structural Biotechnology Journal. https://doi.org/10.34133/csbj.0185
Source records
- crossref · retrieved 2026-09-25T01:37:01.951Z