Korea University College of Medicine Researchers Update Knowledge of Gastrointestinal Diseases and Conditions (Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance …): Digestive System Diseases and Conditions – Gastrointestinal Diseases and Conditions

2023 FEB 24 (NewsRx) -- By a News Reporter-Staff News Editor at Engineering Business Daily -- Current study results on gastrointestinal diseases and conditions have been published. According to news originating from Seoul, South Korea, by NewsRx correspondents, research stated, “This study uses machine learning with large-scale population data to assess the associations of preterm birth (PTB) with dental and gastrointestinal diseases. Population-based retrospective cohort data came from Korea National Health Insurance claims for 124,606 primiparous women aged 25-40 and delivered in 2017.”

Financial supporters for this research include Korea University Medical Center; Ministry of Health & Welfare of South Korea; Korea Medical Device Development Fund.

Our news editors obtained a quote from the research from Korea University College of Medicine: “The 186 independent variables included demographic/socioeconomic determinants, disease information, and medication history. Machine learning analysis was used to establish the prediction model of PTB. Random forest variable importance was used for identifying major determinants of PTB and testing its associations with dental and gastrointestinal diseases, medication history, and socioeconomic status. The random forest with oversampling data registered an accuracy of 84.03, and the areas under the receiver-operating-characteristic curves with the range of 84.03-84.04. Based on random forest variable importance with oversampling data, PTB has strong associations with socioeconomic status (0.284), age (0.214), year 2014 gastroesophageal reflux disease (GERD) (0.026), year 2015 GERD (0.026), year 2013 GERD (0.024), progesterone (0.024), year 2012 GERD (0.023), year 2011 GERD (0.021), tricyclic antidepressant (0.020) and year 2016 infertility (0.019). For example, the accuracy of the model will decrease by 28.4%, 2.6%, or 1.9% if the values of socioeconomic status, year 2014 GERD, or year 2016 infertility are randomly permutated (or shuffled).”

According to the news editors, the research concluded: “By using machine learning, we established a valid prediction model for PTB. PTB has strong associations with GERD and infertility. Pregnant women need close surveillance for gastrointestinal and obstetric risks at the same time.”

For more information on this research see: 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, 2023,20(1732):1732. (International Journal of Environmental Research and Public Health - http://www.mdpi.com/journal/ijerph). The publisher for International Journal of Environmental Research and Public Health is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/ijerph20031732.

Our news journalists report that additional information may be obtained by contacting In-Seok Song, Department of Oral and Maxillofacial Surgery, Korea University College of Medicine, Korea University Anam Hospital, Seoul 02841, South Korea. Additional authors for this research include Eun-Saem Choi, Eun Sun Kim, Yujin Hwang, Kwang-Sig Lee, Ki Hoon Ahn.

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