Kwang‐Sig Lee

ORCID: 0000-0002-0576-0098 · 6 papers in corpus
observational 2023
PloS one ·doi:10.1371/journal.pone.0289486

Although preterm birth (PTB), a birth before 34 weeks of gestation accounts for only less than 3% of total births, it is a critical cause of various perinatal morbidity and mortality. Several studies have been conducted on the association b…

observational 2023
International journal of environmental research and public health ·doi:10.3390/ijerph20031732

BACKGROUND: This study uses machine learning with large-scale population data to assess the associations of preterm birth (PTB) with dental and gastrointestinal diseases. METHODS: Population-based retrospective cohort data came from Korea …

observational 2021
Diagnostics (Basel, Switzerland) ·doi:10.3390/diagnostics11030555

This study uses machine learning and population data to analyze major determinants of preterm birth including depression and particulate matter. Retrospective cohort data came from Korea National Health Insurance Service claims data for 405…

review 2020
Diagnostics ·doi:10.3390/diagnostics10090733

This study reviews the current status and future prospective of knowledge on the use of artificial intelligence for the prediction of spontaneous preterm labor and birth ("preterm birth" hereafter). The summary of review suggests that diffe…

observational 2020
Journal of Korean medical science ·doi:10.3346/jkms.2020.35.e105

BACKGROUND: Periodontitis is reported to be associated with preterm birth (spontaneous preterm labor and birth). Gastroesophageal reflux disease (GERD) is common during pregnancy and is expected to be related to periodontitis. However, litt…

observational 2019
Journal of Korean medical science ·doi:10.3346/jkms.2019.34.e128

BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinant…