S
Seon Hee Lim
Researcher at Seoul National University Hospital
Publications - 83
Citations - 1675
Seon Hee Lim is an academic researcher from Seoul National University Hospital. The author has contributed to research in topics: Helicobacter pylori & Medicine. The author has an hindex of 21, co-authored 74 publications receiving 1335 citations. Previous affiliations of Seon Hee Lim include Kyungpook National University & New Generation University College.
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Journal ArticleDOI
Prevalence and risk factors of Helicobacter pylori infection in Korea: Nationwide multicenter study over 13 years
Seon Hee Lim,Jin-Won Kwon,Nayoung Kim,Nayoung Kim,Gwang Ha Kim,Jung Mook Kang,Min Jung Park,Jeong Yoon Yim,Heung Up Kim,Gwang Ho Baik,Geom Seog Seo,Jeong Eun Shin,Young Eun Joo,Joo Sung Kim,Joo Sung Kim,Hyun Chae Jung +15 more
TL;DR: A decreasing trend of H. pylori seroprevalence due to a birth cohort effect requires further studies on its related human host factors as well as socio-economic and hygienic factors.
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Helicobacter pylori infection and development of gastric cancer in Korea: long-term follow-up.
Nayoung Kim,Ran Young Park,Sung-Il Cho,Seon Hee Lim,Kye Heui Lee,Wooseung Lee,Hyung Min Kang,Hye Seung Lee,Hyun Chae Jung,In Sung Song +9 more
TL;DR: The finding suggests that chronic H. pylori infection looks like an important risk factor for the development of gastric cancer in Korea, where the prevalence of H.pylori remains high.
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Sagittal abdominal diameter is a strong anthropometric measure of visceral adipose tissue in the Asian general population.
Jeong Yoon Yim,Donghee Kim,Seon Hee Lim,Min Jeong Park,Seung Ho Choi,Chang Hyun Lee,Sun Sin Kim,Sang Heon Cho +7 more
TL;DR: SAD showed the strongest correlation to VAT irrespective of age, sex, and the degree of obesity compared with other anthropometric measures, whereas waist circumference may have a stronger correlation to SAT than to VAT.
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.
Eun Hyo Jin,Dongheon Lee,Jung Ho Bae,Hae Yeon Kang,Min Sun Kwak,Ji Yeon Seo,Jong In Yang,Sun Young Yang,Seon Hee Lim,Jeong Yoon Yim,Joo Hyun Lim,Goh Eun Chung,Su Jin Chung,Ji Min Choi,Yoo Min Han,Seung Joo Kang,Joo-Young Lee,Hee Chan Kim,Joo Sung Kim,Joo Sung Kim +19 more
TL;DR: A convolutional neural networks system is developed that significantly increases the accuracy of evaluation of diminutive colorectal polyps (as adenomatous vs hyperplastic) and reduces the time of diagnosis by endoscopists and the CNN assistance system can reduce the skill-level dependence of endoscOPists and costs.
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Prediction of the clinical course of Behçet's colitis according to macroscopic classification by colonoscopy.
TL;DR: In this paper, the authors classified the characteristic colonic ulcers, evaluated the efficacy of medical treatment on colonoscopic lesions, and calculated the operation rates and recurrence rates relative to the macroscopic types.