Eun-kyung Shin
Korea University · Medicine
About the Lab
Professor Eun-kyung Shin's research lab focuses on the intersection of social determinants of health, environmental factors, and biomedical markers in understanding and predicting health disparities, particularly in pediatric asthma and breast cancer. The lab integrates epidemiological data, social and environmental metadata (e.g., neighborhood quality, sociomarkers), and molecular genetics (e.g., CSF1R polymorphisms) to identify risk factors and develop predictive models. A key innovation lies in combining machine learning with integrated health datasets to uncover hidden patterns in health outcomes, especially in vulnerable populations.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Traditional Protein NMR Referencing workflow leads to “chicken-egg dilemma” vs. proposed automatic Bayesian Model Optimized Reference Correction approach
The importance of social components of health has been emphasized both in epidemiology and public health. This paper highlights the significant impact of social components on health outcomes in a novel way. Introducing the concept of sociomarkers, which are measurable indicators of social conditions in which a patient is embedded, we employed a machine learning approach that uses both biomarkers and sociomarkers to identify asthma patients at risk of a hospital revisit after an initial visit wit
The findings suggest that maternal social relationships are associated with cognitive development in children and that social relationships beyond the mother-child-father triad are significantly associated with children's cognitive development. This study investigates the environmental influences on child health outcomes and, specifically, how early cognitive development is associated with social networks for the primary caregiver.
In this paper, we investigate the relationships between dwelling conditions and pediatric asthma prevalence, merging multiple data sources to unpack disproportionate pediatric asthma prevalence in Memphis, TN, USA. Using 32 097 pediatric asthma encounter data from a children's hospital, we map the patient distributions in Memphis. Connecting these data with 244 000 property quality data and census data, we show that pediatric asthma is disproportionately prevalent in the bad quality neighborhood
Colony-stimulating factor 1 receptor (CSF1R) is expressed in monocytes/macrophages and dendritic cells. These cells play important roles in the innate immune response, which is regarded as an important aspect of asthma development. Genetic alterations in the CSF1R gene may contribute to the development of asthma. We investigated whether CSF1R gene polymorphisms were associated with the risk of asthma. Through direct DNA sequencing of the CSF1R gene, we identified 28 single nucleotide polymorphis
BACKGROUND: Breast cancer is one of the most commonly diagnosed cancers among women in the United States and pain is the most common side effect of breast cancer and its treatment. Yet, the relationships between social determinants of pain and pain experience/intensity remain under-investigated. We examined the associations between social determinants of pain both at the individual level and the neighborhood level to understand how social conditions are associated with pain perception among earl
OBJECTIVES: We aimed to examine how comorbidities were associated with outcomes (illness severity or death) among hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: Data were provided by the National Medical Center of the Korea Disease Control and Prevention Agency. These data included the clinical and epidemiological information of all patients hospitalized with COVID-19 who were discharged on or before April 30, 2020 in Korea. We conducted comorbidity network and multinom
As an interest in pedestrian environment has been recently increasing, research on the analysis and design for street space and street landscape has been getting attention. Also, the number of projects related with pedestrian environment has been increasing. Thus, analysis and reflection on previous projects should be first done to effectively carry out future projects and to raise the satisfaction of pedestrians. The research performed an analysis on street space and street landscape of Chamsal
This study merges multiple COVID-19 data sources from news articles and social media to propose an integrated infodemic surveillance system (IISS) that implements infodemiology for a well-tailored epidemic management policy. IISS is an à-la-carte infodemic surveillance solution that enables users to gauge the epidemic related consensus, which compiles epidemic-related data from multiple sources and equipped with various methodological toolkits - topic modeling, Word2Vec, and social network analy
In this study, we reveal the distinctive communication network structures and contents of online breast cancer community posts in accordance with different cancer stages. Using data collected from community.breastcancer.org, a major online breast cancer community (28,139 original posts and 663,748 replies), we traced the communication network structures and contents of replies associated with its severity. By combining network and quantitative content analyses, we deciphered the functions and ut
This study examines the effects of social networks on the disclosure of stigmatizing and traumatic sexual assault experiences. We analyzed publicly archived oral histories of Korean "comfort women" from World War II, employing an innovative method combining word embedding analysis, word frequency comparison, and grounded theory. By extracting their significant social relationships from narrated survivor stories, we parsed two distinctive disclosure patterns according to timing of disclosure: ear
Chronic diseases and conditions are the leading cause of death and disability in the United States. The number of people living with two or more chronic conditions has increased in the last decades and is expected to continue to rise over the upcoming years. Yet, traditional chronic disease surveillance practices have been specialized for a specific symptom or a single health condition. To better understand the complication and complexity of multimorbidity in chronic diseases, this paper suggest
본 논고는 가혹한 억압의 조건에서 대규모 동원을 가능하게 하는 구조적 토대를 연구한다. 어떤 종류의 네트워크 구조가 저항운동에 적합한가에 대한 답을 찾고자 한다. 강력한 압제 속에서는 대규모 저항운동이 일어나는 것은 드물다. 시민 참여의 경험이 적은 사회에서는 더욱 어렵다. 이러한 시민사회론과 집단행동론의 관점에서 조선 말기에서 대한제국을 아우르는 기간의 반일 저항 운동은 매우 이론적으로 흥미로운 경험적 사례이다. 이 연구는 국가 유공자 공훈록 자료의 전기를 토대로 1985년에서 1945년까지 일본에 저항한 1,624명의 독립운동 활동가 인물 네트워크의 추이를 분석한다. 전기적 네트워크 분석을 기반으로 하여, 텍스트 데이터를 숫자 및 그래프와 결합하여 역사적 디지털 아카이브를 탐색하고 조사하는 새로운 방법을 시도한다. 이를 통해 저항 네트워크의 형성과 진화를 탐색하고 네트워크의 구조적 특성과 저항운동의 참여 인원간의 관계에 중점을 두어 저항의 형태학을 발전시킨다. 시계열적 네트워크
In 1948, Yeom sang-seob’s Hyopung was written by Confrontational situation of ideology but looking at the contents of the newspaper contributed by him is that we know it was written in purity of the literature in other words this novel must not be important to philosophy and ideology. Yeom sang-seob’s middle idea which was not partial to any of the ideas is important to purity of the literature. his efforts on hard focusing on literature is involved in the problem of love or life rather than phi
Research Areas
Dive deeper into Eun-kyung Shin's research on Nubint
Open this lab's papers in the app to read with AI, summarize, and cite in your writing.