Analysis of Signs and Effects of Surgical Breast Cancer Patients Based on Big Data Technology.

Hong Z, Xu Q, Yan X, Zhang R, Ren Y, Tong Q

DOI: 10.1155/2022/3373553
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/3373553,
  title = {Analysis of Signs and Effects of Surgical Breast Cancer Patients Based on Big Data Technology.},
  author = {Hong Z and Xu Q and Yan X and Zhang R and Ren Y and Tong Q},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/3373553},
  url = {https://doi.org/10.1155/2022/3373553}
}

RIS

TY  - JOUR
TI  - Analysis of Signs and Effects of Surgical Breast Cancer Patients Based on Big Data Technology.
AU  - Hong Z
AU  - Xu Q
AU  - Yan X
AU  - Zhang R
AU  - Ren Y
AU  - Tong Q
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/3373553
UR  - https://doi.org/10.1155/2022/3373553
ER  -

APA

Z, H., Q, X., X, Y., R, Z., Y, R., & Q, T. (2022). Analysis of Signs and Effects of Surgical Breast Cancer Patients Based on Big Data Technology.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/3373553

Source records

pubmed · retrieved 2026-09-25T14:31:38.800Z
europe-pmc · retrieved 2026-09-25T14:31:38.803Z