The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis-Reference-Cited by-同舟云学术

The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis

Published:2022-10-09 Issue:12 Volume:101 Page:1440-1449
ISSN:0001-6349
Container-title:Acta Obstetricia et Gynecologica Scandinavica
language:en
Short-container-title:Acta Obstet Gynecol Scand

Author:

Chao Xiaopei¹²,Wang Shu¹²^ORCID,Lang Jinghe¹²,Leng Jinhua¹²,Fan Qingbo¹²

Affiliation:

1. Department of Obstetrics and Gynecology Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College Beijing China

2. National Clinical Research Center for Obstetric & Gynecologic Diseases Beijing China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Obstetrics and Gynecology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aogs.14462

Reference31 articles.

1. Risk for and consequences of endometriosis: A critical epidemiologic review

2. Endometriosis

3. Endometriosis‐related pathology: a discussion of selected uncommon benign, premalignant and malignant lesions

4. Adjuvant chemotherapy vs. observation in stage I clear cell ovarian carcinoma: A systematic review and meta-analysis

5. Assessing the risk of pelvic and para-aortic nodal involvement in apparent early-stage ovarian cancer: A predictors- and nomogram-based analyses

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