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

Journal: Journal of Korean medical science

PMID: 34751010

Abstract

BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.

Authors

Kwang-Sig Lee

AI Center, Korea University College of Medicine, Seoul, South Korea.
Eun Sun Kim
Do-Young Kim

AI Center, Korea University Anam Hospital, Seoul, Korea.
In-Seok Song

Department of Oral and Maxillofacial Surgery, Korea University Anam Hospital, Seoul, South Korea. densis@korea.ac.kr.
Ki Hoon Ahn

Department of Obstetrics and Gynecology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea. akh1220@korea.ac.kr.

Keywords

Adult Databases, Factual Female Gastroesophageal Reflux Humans Logistic Models Machine Learning Periodontitis Pregnancy Premature Birth Republic of Korea Retrospective Studies Social Class

External Resources

View on PubMed Access via DOI PubMed (34751010)

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

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals