Lee KS - Search Results

1

Risk factor assessments of temporomandibular disorders via machine learning.

Lee KS, Jha N, Kim YJ. Lee KS, et al. Sci Rep. 2021 Oct 5;11(1):19802. doi: 10.1038/s41598-021-98837-5. Sci Rep. 2021. PMID: 34611188 Free PMC article.

2

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

Park EK, Lee KS, Seo BK, Cho KR, Woo OH, Son GS, Lee HY, Chang YW. Park EK, et al. Among authors: lee ks, lee hy. Sci Rep. 2019 Nov 28;9(1):17847. doi: 10.1038/s41598-019-54371-z. Sci Rep. 2019. PMID: 31780739 Free PMC article.

3

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

Lee KS, Kim HY, Lee SJ, Kwon SO, Na S, Hwang HS, Park MH, Ahn KH; Korean Society of Ultrasound in Obstetrics and Gynecology Research Group. Lee KS, et al. Among authors: lee sj. BMC Pregnancy Childbirth. 2021 Mar 2;21(1):172. doi: 10.1186/s12884-021-03660-5. BMC Pregnancy Childbirth. 2021. PMID: 33653299 Free PMC article.

4

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

Lee KS, Kim ES, Kim DY, Song IS, Ahn KH. Lee KS, et al. J Korean Med Sci. 2021 Nov 8;36(43):e282. doi: 10.3346/jkms.2021.36.e282. J Korean Med Sci. 2021. PMID: 34751010 Free PMC article.

5

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

Jha N, Lee KS, Kim YJ. Jha N, et al. Among authors: lee ks. PLoS One. 2022 Aug 18;17(8):e0272715. doi: 10.1371/journal.pone.0272715. eCollection 2022. PLoS One. 2022. PMID: 35980894 Free PMC article.

6

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

Cho H, Lee EH, Lee KS, Heo JS. Cho H, et al. Among authors: lee ks, lee eh. Sci Rep. 2022 Oct 1;12(1):12119. doi: 10.1038/s41598-022-16234-y. Sci Rep. 2022. PMID: 36183001 Free PMC article.

7

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

Cho H, Lee EH, Lee KS, Heo JS. Cho H, et al. Among authors: lee ks, lee eh. Sci Rep. 2022 Dec 10;12(1):21407. doi: 10.1038/s41598-022-25746-6. Sci Rep. 2022. PMID: 36496465 Free PMC article.

8

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

Song IS, Choi ES, Kim ES, Hwang Y, Lee KS, Ahn KH. Song IS, et al. Among authors: lee ks. Int J Environ Res Public Health. 2023 Jan 18;20(3):1732. doi: 10.3390/ijerph20031732. Int J Environ Res Public Health. 2023. PMID: 36767099 Free PMC article.

9

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

Lee JS, Choi ES, Hwang Y, Lee KS, Ahn KH. Lee JS, et al. Among authors: lee ks. PLoS One. 2023 Mar 31;18(3):e0283959. doi: 10.1371/journal.pone.0283959. eCollection 2023. PLoS One. 2023. PMID: 37000887 Free PMC article.

10

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

Kim R, Kim CW, Park H, Lee KS. Kim R, et al. Among authors: lee ks. Sci Rep. 2023 Jul 19;13(1):11651. doi: 10.1038/s41598-023-36285-z. Sci Rep. 2023. PMID: 37468531 Free PMC article.

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