ArticleScientific reports2019
Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Association of embryo transfer type with infertility in endometriosis: a systematic review and meta-analysis.Journal of assisted reproduction and genetics · 2022Pooled it
- Effect of hysterectomy on risk of thyroid cancer and benign thyroid disorders in South Korean women.Scientific reports · 2025Article
- Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?Journal of clinical medicine · 2024Review
- Horizons in Endometriosis: Proceedings of the Montreux Reproductive Summit, 14-15 July 2023.Facts, views & vision in ObGyn · 2024Article
- Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk.Human genetics · 2023Article
- Dienogest and the Risk of Reoperation in Endometriosis.Journal of personalized medicine · 2021Article
- Endometriosis: current challenges in modeling a multifactorial disease of unknown etiology.Journal of translational medicine · 2020Review
- Evaluation of the ocular surface by impression cytology in patients with endometriosis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied to the relationship between diseases. The study aim was to identify diseases associated with endometriosis by applying RS based on item similarities to insurance data in South Korea. Women aged 15 to 45 years extracted from the Korean Health Insurance Review & Assessment Service National Inpatient Sample (HIRA-NIS) 2009-2015. We used the RS model to extract diseases that were correlated with an endometriosis diagnosis. Among women aged 15 to 45 years, endometriosis was defined as a diagnostic code of N80.x and a concurrent treatment code. A control group was defined as women who did not have the N80.x code. Benign breast diseases, cystitis, and non-toxic goitre were extracted by the RS. A total of 1,730,562 women were selected as the control group, and 11,273 women were selected as the endometriosis group. In logistic regression analysis adjusted for age per 5 years, data year, and socioeconomic status, benign neoplasm of breast (odds ratio (OR): 2.58; 95% confidence interval (CI): 1.90-3.50), other cystitis (OR: 2.63; 95% CI: 1.56-4.44), and non-toxic single thyroid nodule (OR: 1.62; 95% CI: 1.14-2.32) were statistically significant. Endometriosis was associated with benign breast disease, cystitis, and non-toxic goitre.
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