Machine learning analysis with population data for the associations of preterm birth with temporomandibular disorder and gastrointestinal diseases
Kwang-Sig Lee,
In-Seok Song,
Eun Sun Kim
et al.
Abstract:This study employs machine learning analysis with population data for the associations of preterm birth (PTB) with temporomandibular disorder (TMD) and gastrointestinal diseases. The source of the population-based retrospective cohort was Korea National Health Insurance claims for 489,893 primiparous women with delivery at the age of 25–40 in 2017. The dependent variable was PTB in 2017. Twenty-one predictors were included, i.e., demographic, socioeconomic, disease and medication information during 2002–2016. … Show more
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