Kwang-Sig Lee

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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants

Ki Hoon Ahn, Kwang-Sig Lee, K. Ahn, 2019, Journal of Korean medical science.

Artificial Intelligence Approaches to Social Determinants of Cognitive Impairment and Its Associated Conditions

Kun-Woo Park, Kwang-Sig Lee, 2020, Dementia and neurocognitive disorders.

Social determinants of the association among cerebrovascular disease, hearing loss and cognitive impairment in a middle‐aged or older population: Recurrent neural network analysis of the Korean Longitudinal Study of Aging (2014–2016)

Kun-Woo Park, Kwang-Sig Lee, 2019, Geriatrics & gerontology international.

Determinants of Spontaneous Preterm Labor and Birth Including Gastroesophageal Reflux Disease and Periodontitis

Kwang-Sig Lee, K. Ahn, I. Song, 2020, Journal of Korean medical science.

Predictors of Newborn’s Weight for Height: A Machine Learning Study Using Nationwide Multicenter Ultrasound Data

Kyung Yol Lee, Se Jin Lee, Moon-Young Kim, 2021, Diagnostics.

Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Young Woo Chang, B. Seo, K. Cho, 2019, Scientific Reports.

Machine learning on thyroid disease: a review.

Kwang-Sig Lee, Hyuntae Park, 2022, Frontiers in bioscience.

Risk factor assessments of temporomandibular disorders via machine learning

Kwang-Sig Lee, Yoon-Ji Kim, N. Jha, 2021, Scientific Reports.

Machine learning approaches to the determinants of women’s vasomotor symptoms using general hospital data

Jong Bae Seo, Y. J. Kim, Kwang-Sig Lee, 2020 .

Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis

Kwang-Sig Lee, Yoon-Ji Kim, N. Jha, 2022, PloS one.

Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data

Kwang-Sig Lee, K. Ahn, I. Song, 2022, International journal of environmental research and public health.

Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data

H. Kim, G. Cho, M. Oh, 2021, Diagnostics.

Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth

Kwang-Sig Lee, K. Ahn, 2020, Diagnostics.

Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants

Eun Hee Lee, Kwang-Sig Lee, Hannah Cho, 2022, Scientific Reports.

Machine Learning on Early Diagnosis of Depression

B. Ham, Kwang-Sig Lee, 2022, Psychiatry investigation.

Artificial intelligence approaches to the determinants of women’s vaginal dryness using general hospital data

Y. J. Kim, Kwang-Sig Lee, Tak Kim, 2022, Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology.

Artificial intelligence for predicting survival following deceased donor liver transplantation: Retrospective multi-center study.

Kwang-Sig Lee, Kwang-Wonng Lee, Jong Man Kim, 2022, International journal of surgery.

Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants

Eun Hee Lee, Kwang-Sig Lee, Hannah Cho, 2022, Scientific reports.

Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data

Kwang-Sig Lee, K. Ahn, S. Hong, 2022, Diagnostics.

COVID-19 and vaccination during pregnancy: a systematic analysis using Korea National Health Insurance claims data

G. Cho, M. Oh, Kwang-Sig Lee, 2022, Obstetrics & gynecology science.

Machine Learning Models That Integrate Tumor Texture and Perfusion Characteristics Using Low-Dose Breast Computed Tomography Are Promising for Predicting Histological Biomarkers and Treatment Failure in Breast Cancer Patients

B. Seo, K. Cho, O. Woo, 2021, Cancers.

Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease

Kwang-Sig Lee, Eun Sun Kim, 2022, Diagnostics.

Association of preterm birth with medications: machine learning analysis using national health insurance data

Kwang-Sig Lee, K. Ahn, I. Song, 2022, Archives of Gynecology and Obstetrics.

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis

Kwang-Sig Lee, K. Ahn, I. Song, 2021, Journal of Korean Medical Science.

Usefulness of artificial intelligence for predicting recurrence following surgery for pancreatic cancer: Retrospective cohort study.

Jin‐Young Jang, J. Heo, C. Kang, 2021, International journal of surgery.

Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI

J. Lee, B. Seo, K. Cho, 2021, European Radiology.

Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data

Kwang-Sig Lee, Tak Kim, Jung-Ho Shin, 2021, Journal of Korean medical science.

Prediction of newborn’s body mass index using nationwide multicenter ultrasound data: a machine-learning study

Kwang-Sig Lee, K. Ahn, S. Na, 2021, BMC Pregnancy and Childbirth.

Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data

Kwang-Sig Lee, I. Song, K. Ahn, 2023, International journal of environmental research and public health.

Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition

Kwang-Sig Lee, Hyuntae Park, Ranyeong Kim, 2023, Scientific reports.

Social Determinants of Association among Diabetes Mellitus, Visual Impairment and Hearing Loss in a Middle-Aged or Old Population: Artificial-Neural-Network Analysis of the Korean Longitudinal Study of Aging (2014–2016)

Kun-Woo Park, Kwang-Sig Lee, 2019, Geriatrics.

Artificial intelligence in obstetrics

Kwang-Sig Lee, K. Ahn, 2021, Obstetrics & gynecology science.

Kwang-Sig Lee, K. Ahn, Ki Hoon Ahn, 2021, 2021.

Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data

Kwang-Sig Lee, K. Ahn, S. Hong, 2023, Journal of Medical Systems.

Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants

Kwang-Sig Lee, K. Ahn, 2019, Journal of Korean medical science.

Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning

Kwang-Sig Lee, J. Lee, K. Ahn, 2023, PloS one.

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

Kwang-Sig Lee, J. Lee, K. Ahn, 2023, PloS one.

Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data

B. Ham, Kwang-Sig Lee, Hae-In Kim, 2023, Psychiatry investigation.