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김예진 교수

Yejin Kim

서울대학교 · 의학

연구실 소개

김예진 교수의 연구실은 주로 의료 데이터 기반의 지능형 분석 및 건강 관련 질병 메커니즘 규명을 핵심 연구 분야로 삼고 있습니다. 특히 전자건강기록을 활용한 텐서 분해 기반 임상 개념 추출, 스마트폰 중독과 성격 요인 간의 연관성 분석, 비타민 C의 항바이러스 작용 메커니즘 등 다양한 생물의학적 문제를 수리적·통계적 모델링을 통해 해결하고자 합니다. 또한, 환자 개인정보를 보호하면서도 다중 병원 간 공동 분석이 가능한 연합 학습 기반의 데이터 기반 연구 방법론 개발에도 주력하고 있습니다.

컴퓨터 기반 추천임상 개념 추출스마트폰 중독비타민 C연합 학습

연구 현황

논문 수
411
총 인용 수
7,321
최근 5년 논문
182
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
182총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
1,385총합
20222023202420252026

주요 논문

15
1
논문|인용수 772·2016
Convolutional Matrix Factorization for Document Context-Aware Recommendation
Yejin Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu
FWCI 166.4

Sparseness of user-to-item rating data is one of the major factors that deteriorate the quality of recommender system. To handle the sparsity problem, several recommendation techniques have been proposed that additionally consider auxiliary information to improve rating prediction accuracy. In particular, when rating data is sparse, document modeling-based approaches have improved the accuracy by additionally utilizing textual data such as reviews, abstracts, or synopses. However, due to the inh

Information SystemsComputer Science
2
논문|인용수 226·2016
Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control
Yejin Kim, Jo-Eun Jeong, Hyun Cho, Dong-Jin Jung, Min‐Jung Kwak, Mi Jung Rho, Hwanjo Yu, Dai‐Jin Kim, In Young Choi
SJR Q1FWCI 57.2PLoS ONEOA

The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men and 2,281 women (n = 4,854) aged 20-49 years (Mean ± SD: 33.47 ± 7.52); participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS) for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS), the Dickman Dysfunctional Impulsivity Instrument (DDII), and t

Sociology and Political ScienceSocial Sciences
3
논문|인용수 181·2013
Vitamin C Is an Essential Factor on the Anti-viral Immune Responses through the Production of Interferon-α/β at the Initial Stage of Influenza A Virus (H3N2) Infection
Yejin Kim, Hyemin Kim, Seyeon Bae, Jiwon Choi, Sun‐Young Lim, Naeun Lee, Joo Myung Kong, Young-il Hwang, Jae Seung Kang, Wang Jae Lee
SJR Q1FWCI 3.5Immune NetworkOA

L-ascorbic acid (vitamin C) is one of the well-known anti-viral agents, especially to influenza virus. Since the in vivo anti-viral effect is still controversial, we investigated whether vitamin C could regulate influenza virus infection in vivo by using Gulo (-/-) mice, which cannot synthesize vitamin C like humans. First, we found that vitamin C-insufficient Gulo (-/-) mice expired within 1 week after intranasal inoculation of influenza virus (H3N2/Hongkong). Viral titers in the lung of vitami

Nutrition and DieteticsNursing
4
preprint|인용수 125·2017
Federated Tensor Factorization for Computational Phenotyping
Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
FWCI 3.4OA

Tensor factorization models offer an effective approach to convert massive electronic health records into meaningful clinical concepts (phenotypes) for data analysis. These models need a large amount of diverse samples to avoid population bias. An open challenge is how to derive phenotypes jointly across multiple hospitals, in which direct patient-level data sharing is not possible (e.g., due to institutional policies). In this paper, we developed a novel solution to enable federated tensor fact

Computational MathematicsMathematics
5
논문|인용수 108·2014
β‐Sitosterol attenuates high‐fat diet‐induced intestinal inflammation in mice by inhibiting the binding of lipopolysaccharide to toll‐like receptor 4 in the NF‐κB pathway
Kyung‐Ah Kim, In‐Ah Lee, Wan Gu, Supriya R. Hyam, Yejin Kim
SJR Q1FWCI 7.3Molecular Nutrition & Food Research

These findings indicate that β-sitosterol ameliorates HFD-induced colitis by inhibiting the binding of LPS to toll-like receptor 4 in the NF-κB pathway.

SurgeryMedicine
6
논문|인용수 102·2017
Deep hybrid recommender systems via exploiting document context and statistics of items
Yejin Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
SJR Q1FWCI 26.8Information Sciences
Information SystemsComputer Science
7
리뷰|인용수 96·2021
Recent Progress in Drug Release Testing Methods of Biopolymeric Particulate System
Yejin Kim, Eun Ji Park, Tae Wan Kim, Dong Hee Na
SJR Q1FWCI 4.9PharmaceuticsOA

Biopolymeric microparticles have been widely used for long-term release formulations of short half-life chemicals or synthetic peptides. Characterization of the drug release from microparticles is important to ensure product quality and desired pharmacological effect. However, there is no official method for long-term release parenteral dosage forms. Much work has been done to develop methods for in vitro drug release testing, generally grouped into three major categories: sample and separate, d

Pharmaceutical SciencePharmacology, Toxicology and Pharmaceutics
8
논문|인용수 78·2018
Obesity and Weight Gain Are Associated With Progression of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease
Yejin Kim, Yoosoo Chang, Yong Kyun Cho, Jiin Ahn, Ho Cheol Shin, Seungho Ryu
SJR Q1FWCI 5.0Clinical Gastroenterology and Hepatology
EpidemiologyMedicine
9
논문|인용수 46·2019
Sequential and Diverse Recommendation with Long Tail
Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu
FWCI 7.0OA

Sequential recommendation is a task that learns a temporal dynamic of a user behavior in sequential data and predicts items that a user would like afterward. However, diversity has been rarely emphasized in the context of sequential recommendation. Sequential and diverse recommendation must learn temporal preference on diverse items as well as on general items. Thus, we propose a sequential and diverse recommendation model that predicts a ranked list containing general items and also diverse ite

Information SystemsComputer Science
10
논문|인용수 44·2020
Convolutional neural network-based approach to estimate bulk optical properties in diffuse optical tomography
Sohail Sabir, Sanghoon Cho, Yejin Kim, Rizza Pua, Duchang Heo, Kee Hyun Kim, Young-Wook Choi, Seungryong Cho
SJR Q2FWCI 3.5Applied Optics

Deep learning has been actively investigated for various applications such as image classification, computer vision, and regression tasks, and it has shown state-of-the-art performance. In diffuse optical tomography (DOT), the accurate estimation of the bulk optical properties of a medium is paramount because it directly affects the overall image quality. In this work, we exploit deep learning to propose a novel, to the best of our knowledge, convolutional neural network (CNN)-based approach to

Radiology, Nuclear Medicine and ImagingMedicine
11
논문|인용수 42·2019
Metabolically healthy versus unhealthy obesity and risk of fibrosis progression in non‐alcoholic fatty liver disease
Yejin Kim, Yoosoo Chang, Yong Kyun Cho, Jiin Ahn, Ho Cheol Shin, Seungho Ryu
SJR Q1FWCI 3.8Liver International

In the large-scale cohort of young and middle-aged individuals with NAFLD, BMI was positively associated with worsening of noninvasive fibrosis marker regardless of metabolic health status. Excess adiposity per se, even without accompanying metabolic health status, may contribute to fibrosis progression in NAFLD.

EpidemiologyMedicine
12
논문|인용수 41·2012
The anti-inflammatory effect of alloferon on UVB-induced skin inflammation through the down-regulation of pro-inflammatory cytokines
Ye‐Jin Kim, Seung Koo Lee, Seyeon Bae, Hyemin Kim, Yunseong Park, Nag Kyun Chu, Stephanie G. Kim, Hang‐Rae Kim, Young‐il Hwang, Jae Seung Kang, Wang Jae Lee
SJR Q2FWCI 3.5Immunology Letters
DermatologyMedicine
13
논문|인용수 32·2022
The Roles of IL-22 and Its Receptor in the Regulation of Inflammatory Responses in the Brain
Dahae Lee, Hyejung Jo, Cheolhyeon Go, Yoojin Jang, Naghyung Chu, Suhyun Bae, Dongmin Kang, Yejin Kim, Jae Seung Kang
SJR Q1FWCI 2.6International Journal of Molecular SciencesOA

Interleukin (IL)-22 is a potent mediator of inflammatory responses. The IL-22 receptor consists of the IL-22Rα and IL-10Rβ subunits. Previous studies have shown that IL-22Rα expression is restricted to non-hematopoietic cells in the skin, pancreas, intestine, liver, lung, and kidney. Although IL-22 is involved in the development of inflammatory responses, there have been no reports of its role in brain inflammation. Here, we used RT-PCR, Western blotting, flow cytometry, immunohistochemical, and

ImmunologyImmunology and Microbiology
14
논문|인용수 28·2017
The pathogenic role of interleukin-22 and its receptor during UVB-induced skin inflammation
Yejin Kim, Junmyung Lee, Jihoon Kim, Chong Won Choi, Young‐il Hwang, Jae Seung Kang, Wang Jae Lee
SJR Q1FWCI 2.7PLoS ONEOA

Recent studies show that IL-22, a cytokine produced by activated CD4+ T cells and NK cells, plays a pathogenic role in acute and chronic skin diseases. While IL-22 is produced by immune cells, the expression of IL-22Rα, the functional subunit of IL-22R, is mostly restricted to non-hematopoietic cells in organs such as the skin and pancreas. Although it is well known that ultraviolet B (UVB) radiation induces skin inflammation, there have been no reports regarding the effect of UVB on the express

DermatologyMedicine
15
논문|인용수 26·2023
Serum 25-Hydroxyvitamin D Levels and Risk of Colorectal Cancer: An Age-Stratified Analysis
Yejin Kim, Yoosoo Chang, Yoosun Cho, Jiwon Chang, Kyungeun Kim, Dong Il Park, Soo‐Kyung Park, Hee‐Kyung Joh, Mi Kyung Kim, Chanmin Kim, Sarah H. Wild, Christopher D. Byrne
SJR Q1FWCI 6.6GastroenterologyOA
Pathology and Forensic MedicineMedicine

대표 연구 분야

Molecular BiologyEpidemiologyInformation SystemsArtificial IntelligenceNutrition and DieteticsEndocrinology, Diabetes and Metabolism

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