Endometrial cancer in G20 countries, 1990-2050: trends, projections, and machine learning-based risk drivers.

Chen B, Sun H, Qiu X

DOI: 10.3802/jgo.2027.38.e25
Published: 2026 Sep 3
Container: Journal of gynecologic oncology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3802/jgo.2027.38.e25,
  title = {Endometrial cancer in G20 countries, 1990-2050: trends, projections, and machine learning-based risk drivers.},
  author = {Chen B and Sun H and Qiu X},
  year = {2026},
  journal = {Journal of gynecologic oncology},
  doi = {10.3802/jgo.2027.38.e25},
  url = {https://doi.org/10.3802/jgo.2027.38.e25}
}

RIS

TY  - JOUR
TI  - Endometrial cancer in G20 countries, 1990-2050: trends, projections, and machine learning-based risk drivers.
AU  - Chen B
AU  - Sun H
AU  - Qiu X
PY  - 2026
JO  - Journal of gynecologic oncology
DO  - 10.3802/jgo.2027.38.e25
UR  - https://doi.org/10.3802/jgo.2027.38.e25
ER  -

APA

B, C., H, S., & X, Q. (2026). Endometrial cancer in G20 countries, 1990-2050: trends, projections, and machine learning-based risk drivers.. Journal of gynecologic oncology. https://doi.org/10.3802/jgo.2027.38.e25

Source records

pubmed · retrieved 2026-09-26T06:44:12.750Z
europe-pmc · retrieved 2026-09-26T06:44:12.767Z