[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].

He HY

Open source

DOI
10.3760/cma.j.cn112147-20260429-00244
Published
2026 Oct 12
Container
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.3760/cma.j.cn112147-20260429-00244,
  title = {[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].},
  author = {He HY},
  year = {2026},
  journal = {Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases},
  doi = {10.3760/cma.j.cn112147-20260429-00244},
  url = {https://doi.org/10.3760/cma.j.cn112147-20260429-00244}
}

RIS

TY  - JOUR
TI  - [Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].
AU  - He HY
PY  - 2026
JO  - Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
DO  - 10.3760/cma.j.cn112147-20260429-00244
UR  - https://doi.org/10.3760/cma.j.cn112147-20260429-00244
ER  - 

APA

HY, H. (2026). [Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].. Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases. https://doi.org/10.3760/cma.j.cn112147-20260429-00244

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