Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis-Reference-Cited by-同舟云学术

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Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis

Published:2021 Issue:43 Volume:36 Page:
ISSN:1011-8934
Container-title:Journal of Korean Medical Science
language:en
Short-container-title:J Korean Med Sci

Author:

Lee Kwang-Sig¹^ORCID,Kim Eun Sun²^ORCID,Kim Do-young¹³,Song In-Seok⁴^ORCID,Ahn Ki Hoon³^ORCID

Affiliation:

1. AI Center, Korea University Anam Hospital, Seoul, Korea.

2. Department of Gastroenterology, Korea University Anam Hospital, Seoul, Korea.

3. Department of Obstetrics and Gynecology, Korea University Anam Hospital, Seoul, Korea.

4. Department of Oral and Maxillofacial Surgery, Korea University Anam Hospital, Seoul, Korea.

Funder

Korea University Medicine

Ministry of Science and ICT, South Korea

Publisher

Korean Academy of Medical Sciences

Subject

General Medicine

Link

https://jkms.org/pdf/10.3346/jkms.2021.36.e282

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment;International Journal of Online and Biomedical Engineering (iJOE);2024-08-08

2. Gastroesophageal Reflux Disease and Preterm Birth: Univariate and Multivariate Mendelian Randomization;International Journal of Women's Health;2024-08

3. Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning;PLOS ONE;2023-08-07

4. Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data;International Journal of Environmental Research and Public Health;2023-01-18

5. Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants;Scientific Reports;2022-12-10

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