A5042307046- Data-Driven Disease Surveillance
- Health disparities and outcomes
- Chronic Disease Management Strategies
- Misinformation and Its Impacts
- Noise Effects and Management
- Biomedical Text Mining and Ontologies
- Mental Health Research Topics
- Child Abuse and Trauma
- Asthma and respiratory diseases
- Diagnosis and treatment of tuberculosis
- Complex Network Analysis Techniques
- Diversity and Career in Medicine
- Bioinformatics and Genomic Networks
- Air Quality and Health Impacts
- Functional Brain Connectivity Studies
- Global Health Workforce Issues
- Health Policy Implementation Science
- Mobile Health and mHealth Applications
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- Hepatocellular Carcinoma Treatment and Prognosis
- Child and Adolescent Psychosocial and Emotional Development
- Infectious Diseases and Tuberculosis
- Ethics in Clinical Research
- Machine Learning in Healthcare
Korea University
2019-2024
University of Tennessee Health Science Center
2017-2019
Oak Ridge National Laboratory
2018-2019
Soonchunhyang University
2003-2010
Bucheon University
2003-2010
Seoul National University
2010
Traditional Protein NMR Referencing workflow leads to “chicken-egg dilemma” vs. proposed automatic Bayesian Model Optimized Reference Correction approach
The importance of social components health has been emphasized both in epidemiology and public health. This paper highlights the significant impact on outcomes a novel way. Introducing concept sociomarkers, which are measurable indicators conditions patient is embedded, we employed machine learning approach that uses biomarkers sociomarkers to identify asthma patients at risk hospital revisit after an initial visit with accuracy 66%. analysis performed over integrated dataset consisting...
Breast cancer is one of the most commonly diagnosed cancers among women in United States and pain common side effect breast its treatment. Yet, relationships between social determinants experience/intensity remain under-investigated. We examined associations both at individual level neighborhood to understand how conditions are associated with perception early stage patients.We conducted integrated statistical analysis 1,191 treated a large center Memphis, Tennessee. Combining electronic...
In this paper, we investigate the relationships between dwelling conditions and pediatric asthma prevalence, merging multiple data sources to unpack disproportionate prevalence in Memphis, TN, USA. Using 32 097 encounter from a children's hospital, map patient distributions Memphis. Connecting these with 244 000 property quality census data, show that is disproportionately prevalent bad neighborhoods, even after controlling for ethnicity poverty level. Furthermore, neighborhood inequality...
<h3>Importance</h3> This study examines how different types of social network structures are associated with early cognitive development in children. <h3>Objectives</h3> To assess relationships and to elucidate whether variations the mother's networks alter a child's patterns. <h3>Design, Setting, Participants</h3> cohort used data from 1082 mother-child pairs University Tennessee Health Science Center–Conditions Affecting Neurocognitive Development Learning Early Childhood project examine...
Background: Adverse Childhood Experiences (ACEs), a set of negative events and processes that person might encounter during childhood adolescence, have been proven to be linked increased risks multitude health outcomes conditions when children reach adulthood beyond. Objective: To better understand the relationship between ACEs their relevant risk factors with associated eventually design implement preventive interventions, access an integrated coherent dataset is needed. Therefore, we...
Abstract Objective Our objective was to develop and test a new concept (affinity) analogous multimorbidity of chronic conditions for individuals at census tract level in Memphis, TN. The use affinity will improve the surveillance multiple facilitate design effective interventions. Methods We used publicly available condition data (Center Disease Control Prevention 500 Cities project), socio-demographic (US Census Bureau), demographics (Environmental Systems Research Institute). examined...
Colony-stimulating factor 1 receptor (CSF1R) is expressed in monocytes/macrophages and dendritic cells. These cells play important roles the innate immune response, which regarded as an aspect of asthma development. Genetic alterations CSF1R gene may contribute to development asthma. We investigated whether polymorphisms were associated with risk Through direct DNA sequencing gene, we identified 28 single nucleotide (SNPs) genotyped them 303 normal controls 498 asthmatic patients. Expression...
<title>Abstract</title> Neural consequences of social disparities are not yet rigorously investigated. How socioeconomic conditions influence children’s connectome development remains unknown. This paper endeavors to gauge how precisely the structure brain can predict an individual’s environment, thereby inversely assessing influences engraved in neural adolescent brain. The analysis has been performed over integrated dataset consisting imaging data and household level from Adolescent Brain...
Most chronic diseases are a result of complex web causative and correlated factors. As result, effective public health or clinical interventions that intend to generate sustainable change in these most often use combination strategies programs. To optimize comparative effectiveness evaluations select the efficient intervention(s), stakeholders (i.e. institutions, policy-makers advocacy groups, practitioners, insurers, clinicians, researchers) need access reliable assessment methods. Building...
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 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 분석을 기반으로 하여, 텍스트 데이터를 숫자 및 그래프와 결합하여 역사적 디지털 아카이브를 탐색하고 조사하는 새로운 방법을 시도한다. 이를 통해 형성과 진화를 특성과 저항운동의 참여 인원간의 관계에 중점을 두어 저항의 형태학을 발전시킨다. 시계열적 한국의 저항운동은 그 연결의 다양성과 분절성을 영속성을 유지할...
In this study, we reveal the distinctive communication network structures and contents of online breast cancer community posts in accordance with different stages. Using data collected from community.breastcancer.org, a major (28,139 original 663,748 replies), traced replies associated its severity. By combining quantitative content analyses, deciphered functions utilities health-related communication. We found an inverse relationship between offline epidemiological prevalence activation....
This study examines the effects of social networks on disclosure stigmatizing and traumatic sexual assault experiences. We analyzed publicly archived oral histories Korean "comfort women" from World War II, employing an innovative method combining word embedding analysis, frequency comparison, grounded theory. By extracting their significant relationships narrated survivor stories, we parsed two distinctive patterns according to timing disclosure: early disclosers late disclosers. The latter...
Adverse Childhood Experiences (ACEs) have been proven to be linked increased risks of a multitude negative health outcomes and conditions when children reach adulthood beyond. To better understand the relationship between ACEs associated eventually pan implement preventive interventions, access an integrated coherent actionable data set is crucial. In this paper, we introduce formal reusable ontological framework capture knowledge in domain improve surveillance response.
African American children are more than twice as likely white to die after surgery, and have increased risk for longer hospital stays, post-surgical complications, higher costs. Prior research into disparities in pediatric surgery outcomes has not considered interactions between patient-level Clinical Risk Factors (CRFs) population-level Social, Economic, Environmental (SEEFs) primarily due the lack of integrated data sets. In this study, we analyze correlations SEEFs CRFs outcomes. We used...
Adverse Childhood Experiences (ACEs) are negative events or states that affect children, with lasting impacts throughout their adulthood. ACES considered one of the major risk factors for several adverse health outcomes and associated low quality life many detrimental social economic consequences. In order to enact better surveillance ACEs conditions, it is instrumental provide tools detect, monitor respond effectively. this paper, we present a recommender system tasked simplifying data...
Chronic diseases and conditions are the leading cause of death disability in United States. The number people living with two or more chronic has increased last decades is expected to continue rise over upcoming years. Yet, traditional disease surveillance practices have been specialized for a specific symptom single health condition. To better understand complication complexity multimorbidity diseases, this paper suggests use network science (MNS). We discuss why relational perspective...
Background: Scientific evidence confirm that significant racial disparities exist in healthcare, including surgery outcomes. However, the causal pathway underlying at preoperative physical condition of children is not well-understood. Objectives: This research aims to uncover role socioeconomic and environmental factors through multidimensional integration several data sources patient population level. Methods: After process an unsupervised k-means algorithm on neighborhood quality metrics...
Abstract The stroke incidence has increased rapidly in South Korea, calling for a national-wide system long-term management. We investigated the effects of socioeconomic status (SES) and geographic factors on chronic phase survival after stroke. retrospectively enrolled 6994 patients who experienced event 2009 from Korean National Health Insurance database. followed them up 24 to 120 months onset. endpoint was all-cause mortality. defined SES using medical-aid group four groups divided by...
Background: Understanding the immune response to evolving viral strains is crucial for evidence-informed public health strategies. The main objective of this study assess influence vaccination on neutralizing activity SARS-CoV-2 delta and omicron infection against various variants. Methods: A total 97 laboratory-confirmed COVID-19 cases were included. To activity, we measured or (BA.1 BA.2) wild-type (WT), delta, BA.1, BA.2, with results stratified based status. Results: WT, variants was...