Kwang-Sig Lee

No ORCID on file · 3 papers in corpus
observational 2023
Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database
PloS one ·doi:10.1371/journal.pone.0283959

BACKGROUND: Maternal heart disease is suspected to affect preterm birth (PTB); however, validated studies on the association between maternal heart disease and PTB are still limited. This study aimed to build a prediction model for PTB usin…

observational 2021
Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data
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
Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth
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…