Cargando…

Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database

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 using machine learning analysis and nationwide population data,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Jue Seong, Choi, Eun-Saem, Hwang, Yujin, Lee, Kwang-Sig, Ahn, Ki Hoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065252/ https://www.ncbi.nlm.nih.gov/pubmed/37000887 http://dx.doi.org/10.1371/journal.pone.0283959

Ejemplares similares

Association between early preterm birth and maternal exposure to fine particular matter (PM(10)): A nation-wide population-based cohort study using machine learning
por: Choi, Eun-Saem, et al.
Publicado: (2023)

Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data
por: Song, In-Seok, et al.
Publicado: (2023)

Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2022)

Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth
por: Lee, Kwang-Sig, et al.
Publicado: (2020)

Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants
por: Lee, Kwang-Sig, et al.
Publicado: (2019)

Determinants of Spontaneous Preterm Labor and Birth Including Gastroesophageal Reflux Disease and Periodontitis
por: Lee, Kwang-Sig, et al.
Publicado: (2020)

Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data
por: Lee, Byung-Hyun, et al.
Publicado: (2022)

Risk Factors for Dual Burden of Severe Maternal Morbidity and Preterm Birth by Insurance Type in California
por: El Ayadi, Alison M., et al.
Publicado: (2022)

Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants
por: Cho, Hannah, et al.
Publicado: (2022)

Prevalence of asthma in preterm and associated risk factors based on prescription data from the Korean National Health Insurance database
por: Kim, Kwanghoon, et al.
Publicado: (2023)

Artificial intelligence in obstetrics
por: Ahn, Ki Hoon, et al.
Publicado: (2022)

Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2023)

Effect of Cervical Cerclage on the Risk of Recurrent Preterm Birth after a Twin Spontaneous Preterm Birth
por: Kim, Shinyoung, et al.
Publicado: (2020)

Major Congenital Anomalies in Korean Livebirths in 2013–2014: Based on the National Health Insurance Database
por: Lee, Jin A, et al.
Publicado: (2023)

Retinopathy of Prematurity and Hearing Impairment in Infants Born with Very-Low-Birth-Weight: Analysis of a Korean Neonatal Network Database
por: Song, Chang Myeon, et al.
Publicado: (2021)

Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants
por: Cho, Hannah, et al.
Publicado: (2022)

Maternal preterm birth prediction in the United States: a case-control database study
por: Li, Yan, et al.
Publicado: (2022)

Incidence and etiology of sudden cardiac arrest in Koreans: A cohort from the national health insurance service database
por: Roh, Seung-Young, et al.
Publicado: (2020)

Preterm birth update in Australasia: A report of the international symposium of Preterm Birth International Collaborative-Australasia branch
por: Qiao, Chong, et al.
Publicado: (2022)

Data Configuration and Publication Trends for the Korean National Health Insurance and Health Insurance Review & Assessment Database
por: Kim, Hae Kyung, et al.
Publicado: (2020)

Maternal dyslipidemia and risk for preterm birth
por: Smith, Caitlin J., et al.
Publicado: (2018)

Role of Maternal Periodontitis in Preterm Birth
por: Ren, Hongyu, et al.
Publicado: (2017)

Utilization of evidence-based treatment in elderly patients with chronic heart failure: using Korean Health Insurance claims database
por: Kim, Ju-Young, et al.
Publicado: (2012)

Effects of Temperature and Pressure on Acute Stroke Incidence Assessed Using a Korean Nationwide Insurance Database
por: Lim, Jae-Sung, et al.
Publicado: (2017)

Prediction of newborn’s body mass index using nationwide multicenter ultrasound data: a machine-learning study
por: Lee, Kwang-Sig, et al.
Publicado: (2021)

dbPTB: a database for preterm birth
por: Uzun, Alper, et al.
Publicado: (2012)

Association between breast diseases and symptomatic uterine fibroids by using South Korean National Health Insurance database
por: Yuk, Jin-Sung, et al.
Publicado: (2023)

The increased risk of colorectal cancer in the women who underwent hysterectomy from the South Korean National Health Insurance Database
por: Yuk, Jin -Sung, et al.
Publicado: (2023)

Epidemiology of Chronic Urticaria in Korea Using the Korean Health Insurance Database, 2010-2014
por: Lee, Nami, et al.
Publicado: (2017)

Prevalence of Psoriasis in Korea: A Population-Based Epidemiological Study Using the Korean National Health Insurance Database
por: Lee, Jin Yong, et al.
Publicado: (2017)

Lack of association between the VEGFA gene polymorphisms and preterm birth in Korean women
por: Shi, Yue, et al.
Publicado: (2023)

Maternal Hypercholesterolemia May Involve in Preterm Birth
por: Chen, Jingfei, et al.
Publicado: (2022)

COVID-19 and vaccination during pregnancy: a systematic analysis using Korea National Health Insurance claims data
por: Ahn, Ki Hoon, et al.
Publicado: (2022)

Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research
por: Golob, Jonathan L., et al.
Publicado: (2023)

Doxorubicin‐induced heart failure in cancer patients: A cohort study based on the Korean National Health Insurance Database
por: Kim, Young Ae, et al.
Publicado: (2018)

The role of maternal infection in preterm birth: evidence from the Brazilian Multicentre Study on Preterm Birth (EMIP)
por: Tedesco, Ricardo P., et al.
Publicado: (2020)

Seasonal Pattern of Preterm Births in Korea for 2000–2012
por: Woo, Yoonmi, et al.
Publicado: (2016)

Trends in Meniscal Allograft Transplant in the Republic of Korea, 2010-2018: An Analysis Based on the Korean National Health Insurance Claims Database
por: Park, Jun-Gu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_8u7dnap4nbh6vfrie9hmpp0536