Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis

Qian Shen, Ling Wang

DOI: 10.1155/2021/7956184
Published: 2021-11-23
Container: Journal of Healthcare Engineering
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2021/7956184,
  title = {Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis},
  author = {Qian Shen and Ling Wang},
  year = {2021},
  journal = {Journal of Healthcare Engineering},
  doi = {10.1155/2021/7956184},
  url = {https://doi.org/10.1155/2021/7956184}
}

RIS

TY  - JOUR
TI  - Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis
AU  - Qian Shen
AU  - Ling Wang
PY  - 2021
JO  - Journal of Healthcare Engineering
DO  - 10.1155/2021/7956184
UR  - https://doi.org/10.1155/2021/7956184
ER  -

APA

Shen, Q., & Wang, L. (2021). Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis. Journal of Healthcare Engineering. https://doi.org/10.1155/2021/7956184

Source records

crossref · retrieved 2026-09-25T06:03:29.237Z