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Longitudinal profile of routine biomarkers for mortality prediction using unsupervised clustering algorithm in severely burned patients: a retrospective cohort study with prospectively collected data

Yoon J, Kym D, Hur J, Cho YS, Chun W, Yoon D

Purpose: Burn injury has high clinical heterogeneity and worse prognosis in severely burned patients. Clustering algorithms using unsupervised methods to identify groups with similar trajectories in heterogeneous disease patients can...
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Unsupervised Clustering of Late Preterm Infants in Terms of Developmental Outcome

Kim H, Song JH, Kim SS

Objective: This study aimed to derive the subtype of late preterm infants (gestational age, 34 to 36 weeks) according to their developmental outcomes. Methods: We retrospectively investigated the medical records of...
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Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis

Kim KJ, Lee JB, Choi J, Seo JY, Yeom JW, Cho CH, Bae JH, Kim SG, Lee HJ, Kim NH

Lifestyle is a critical aspect of diabetes management. We aimed to define a healthy lifestyle using objectively measured parameters obtained from a wearable activity tracker (Fitbit) in patients with type...
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Patterns of Restricted and Repetitive Behaviors in Toddlers and Young Children with Autism Spectrum Disorder

Song DY, Kim D, Lee HJ, Bong G, Han JH, Yoo HJ

Objectives: Restricted and repetitive behaviors (RRBs) are a core symptom in the diagnosis of autism spectrum disorder (ASD). The complexity of behavioral patterns has called for the creation of phenotypically...
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Spatiotemporal analysis of environmental and physiographic factors related to malaria in Bareilly district, India

Chaudhary S, Soman B

Objectives The aim of this study was to explore the spatiotemporal clustering of reported malaria cases and to study the effects of various environmental and physiographic factors on malaria incidence...
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Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis

Ha SW, Kim SJ, Choi JY, Baek SH

Objective: To classify facial asymmetry (FA) phenotypes in adult patients with skeletal Class III (C-III) malocclusion. Methods: A total of 120 C-III patients who underwent orthognathic surgery (OGS) and whose...
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Subgrouping of Peripheral Neuropathic Pain Patients According to Sensory Symptom Profile Using the Korean Version of the PainDETECT Questionnaire

Choi K, Kwon O, Suh BC, Sohn E, Joo IS, Oh J

Background: A culturally validated Korean version of the PainDETECT Questionnaire (PD-Q) was used to identify neuropathic pain components (NeP) in patients suffering from chronic pain. The purpose of this study...
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COVID-19 and changes in Korean consumers' dietary attitudes and behaviors

Rha JY, Lee B, Nam Y, Yoon J

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) outbreak has dramatically changed nearly every aspect of our lives. Although Dietary lifestyle includes attitudes and behaviors to meet their most basic needs, but...
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Toxoplasma gondii virulence prediction using hierarchical cluster analysis based on coding sequences (CDS) of sag1, gra7 and rop18

Subekti DT, Ekawasti F, Desem MI, Azmi Z

Toxoplasma gondii consists of three genotypes, namely genotype I, II and III. Based on its virulence, T. gondii can be divided into virulent and avirulent strains. This study intends to...
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Development and Verification of an Internet Game Literacy Scale

Chung US, Kim S, Jin J, Han DH

Background: Education on internet games for parents and internet game literacy are needed to prevent problematic internet game playing in Korea. We created an 18-item Internet Game Literacy Scale (IGLS)....
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A protein interactions map of multiple organ systems associated with COVID-19 disease

Bharne D

Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in...
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Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective

Kang M, Hong KS, Chikontwe P, Luna M, Jang JG, Park J, Shin KC, Park SH, Ahn JH

Background: It is difficult to distinguish subtle differences shown in computed tomography (CT) images of coronavirus disease 2019 (COVID-19) and bacterial pneumonia patients, which often leads to an inaccurate diagnosis....
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Cluster Analysis of Inhalant Allergens in South Korea: A Computational Model of Allergic Sensitization

Kim DK, Park YS, Cha KJ, Jang D, Ryu S, Kim KR, Kim SH, Yoon HJ, Cho SH

Objectives. Sensitization to specific inhalant allergens is a major risk factor for the development of atopic diseases, which impose a major socioeconomic burden and significantly diminish quality of life. However,...
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A Two-step Clustering Approach for Measuring Socioeconomic Factors Associated with Cardiovascular Health among Older Adults in South Korea

Lee CY

Purpose: This study aimed to identify socioeconomic clusters of older adults and compare cardiovascular health among the identified clusters. Methods: A secondary analysis was performed using the data from 3,303...
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Classification of Adolescent Suicide Based on Student Suicide Reports

Kwon H, Hong HJ, Kweon YS

  • KMID: 2507487
  • J Korean Acad Child Adolesc Psychiatry.
  • 2020 Oct;31(4):169-176.
  • doi: 10.5765/jkacap.200030
Exploring the risk factors of adolescent suicide is important for effective suicide prevention. This study explored the clustering of adolescent suicides based on six risk factors: mental disorder, broken family,...
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A study on the Utilization and Satisfaction of Commercially available Lunchbox by Dietary Lifestyle

Kim H, Huh IJ, Lee SY

Objective This study investigated the utilization and satisfaction of lunchbox by considering the dietary lifestyle of the consumer, in order to refine the purchasing behavior of adults with experience in...
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The Impact of Cluster-Type Risk Factors on Adverse Clinical Prognosis in Patients with Coronary Artery Disease: A Secondary Data Analysis

Uhm IA, Hwang SY

Purpose: Identify the cluster-type risk factors when disease occurs in patients with coronary artery disease (CAD) and examine the impact of the cluster-type on adverse clinical prognosis in CAD patients....
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Molecular Characterization of 170 New gDNA-SSR Markers for Genetic Diversity in Button Mushroom (Agaricus bisporus)

An H, Jo IH, Oh YL, Jang KY, Kong WS, Sung JK, So YS, Chung JW

We designed 170 new simple sequence repeat (SSR) markers based on the whole-genome sequence data of button mushroom (Agaricus bisporus), and selected 121 polymorphic markers. A total of 121 polymorphic...
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Association between energy intake and skeletal muscle mass according to dietary patterns derived by cluster analysis: data from the 2008 ~ 2010 Korea National Health and Nutrition Examination Survey

Jang BY, Bu SY

PURPOSE: This study investigated major dietary patterns among healthy Korean adults using cluster analysis and analyzed the relationship between energy intake and skeletal muscle mass. METHODS: This study was conducted using...
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Clinical characteristics of intentional self-harm inpatient with lethal methods

Cha JH, Ahn ME, Kim DW, Lee SK, Lee CH, Kim SM, Kim JH, Kim HK, Han JH, Park KS

OBJECTIVE: The aim of this study was to identify the latent class, according to the risk factors, of the patients hospitalized due to intentional self-harm by lethal means. METHODS: The risk...
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