Ki Hoon Ahn
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Explore the profile of Ki Hoon Ahn including associated specialties, affiliations and a list of published articles.
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84
Citations
446
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Recent Articles
11.
Machine learning analysis for the association between breast feeding and metabolic syndrome in women
Lee J, Choi E, Lee H, Son S, Lee K, Ahn K
Sci Rep
. 2024 Feb;
14(1):4138.
PMID: 38374105
This cross-sectional study aimed to develop and validate population-based machine learning models for examining the association between breastfeeding and metabolic syndrome in women. The artificial neural network, the decision tree,...
12.
Choi E, Lee H, Lee S, Jung Y, Kim H, Lee S, et al.
PLoS One
. 2024 Feb;
19(2):e0298060.
PMID: 38359058
Fetal growth restriction (FGR) is one of the leading causes of perinatal morbidity and mortality. Many studies have reported an association between FGR and fetal Doppler indices focusing on umbilical...
13.
Jung Y, Wi W, Cho K, Hong S, Kim H, Ahn K, et al.
J Korean Med Sci
. 2024 Feb;
39(5):e50.
PMID: 38317450
Background: Maladaptation to vascular, metabolic, and physiological changes during pregnancy can lead to fetal growth disorders. Moreover, adverse outcomes during pregnancy can further increase the risk of cardiovascular and metabolic...
14.
Kim H, Cho G, Ahn K, Hong S, Oh M, Kim H
Sci Rep
. 2024 Jan;
14(1):2274.
PMID: 38280915
This study aimed to examine the impact of term LBW on short-term neonatal and long-term neurodevelopmental outcomes in children 5-7 years of age. This is a population-based cohort study that...
15.
Lee K, Song I, Kim E, Kim J, Jung S, Nam S, et al.
PLoS One
. 2024 Jan;
19(1):e0296329.
PMID: 38165877
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...
16.
Kim H, Ahn K, Cho G, Hong S, Oh M, Kim H
J Korean Med Sci
. 2023 Sep;
38(35):e286.
PMID: 37667584
Background: We sought to identify the influence of prepregnancy glucose levels on obstetric complications in subsequent pregnancy. Methods: Women in Republic of Korea who had given birth between January 1st,...
17.
Song K, Choi E, Kim H, Ahn K, Kim H
Obstet Gynecol Sci
. 2023 Aug;
66(6):484-497.
PMID: 37551109
Patient blood management is an evidence-based concept that seeks to minimize blood loss by maintaining adequate hemoglobin levels and optimizing hemostasis during surgery. Since the coronavirus disease 2019 pandemic, patient...
18.
Choi E, Lee J, Hwang Y, Lee K, Ahn K
PLoS One
. 2023 Aug;
18(8):e0289486.
PMID: 37549180
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...
19.
Lee K, Choi E, Nam Y, Liu N, Yang Y, Kim H, et al.
J Med Syst
. 2023 Aug;
47(1):82.
PMID: 37535172
This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of...
20.
Lee J, Choi E, Hwang Y, Lee K, Ahn K
PLoS One
. 2023 Mar;
18(3):e0283959.
PMID: 37000887
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...