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Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud

Lee KH, Urtnasan E, Hwang S, Lee HY, Lee JH, Koh SB, Youk H

Purpose: We propose the Lifelog Bigdata Platform as a sustainable digital healthcare system based on individual-centric lifelog datasets and describe the standardization of lifelog and clinical data in its full-cycle...
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Prevalence of Ophthalmic Manifestations Related to Tourette Syndrome Based on Big Data

Jung DH, Lee SJ

Purpose: To investigate the prevalence of ophthalmic manifestations in patients with Tourette syndrome using big data based on samples extracted from the Health Insurance Review and Assessment Service. Methods: The...
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Correlation between Internet Search Query Data and the Health Insurance Review & Assessment Service Data for Seasonality of Plantar Fasciitis

Hwang SM, Lee GH, Oh SY

Purpose: This study examined whether there are seasonal variations in the number of plantar fasciitis cases from the database of the Korean Health Insurance Review & Assessment Service and an...
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Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit

Jeddah D, Chen O, Lipsky AM, Forgacs A, Celniker G, Lilly CM, Pessach IM

Objectives: Predictive models for critical events in the intensive care unit (ICU) might help providers anticipate patient deterioration. At the heart of predictive model development lies the ability to accurately...
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Large database study of urinary stone composition in South Korea: Korean Society of Endourology and Robotics (KSER) research series

Jung HD, Seo IY, Lee JY

Purpose: To evaluate the characteristics of urinary stone composition in a Korean population using a large database of stone composition. Materials and Methods: From January 1, 2014, to June 30, 2019,...
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Application of deep learning to predict advanced neoplasia using big clinical data in colorectal cancer screening of asymptomatic adults

Yang HJ, Cho CW, Jang J, Kim SS, Ahn KS, Park SK, Park DI

Background/Aims: We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal neoplasia (ACRN) in asymptomatic adults, based on which colorectal cancer screening could...
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Epidemiology of trigeminal neuralgia: an electronic population health data study in Korea

Lee CH, Jang HY, Won HS, Kim JS, Kim YD

Background: Trigeminal neuralgia (TN) is one of the most painful disorder in the orofacial region, and many patients have suffered from this disease. For the effective management of TN, fundamental...
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A Korean nationwide investigation of the national trend of complex regional pain syndrome vis-à-vis age-structural transformations

Lee JH, Park S, Kim JH

Background: The present study employed National Health Insurance Data to explore complex regional pain syndrome (CRPS) updated epidemiology in a Korean context. Methods: A CRPS cohort for the period 2009-2016 was...
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Analysis of interest in implant using a big data: A web-based study

Kong HJ

Purpose: The purpose of this study was to analyze the level of interest that common Internet users have in dental implant using a Google Trends, and to compare the level...
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Application of artificial intelligence in toxicopathology

Kang JS

Traditionally, pathologists examine tissue slides under a microscope to find pathological lesions, and have the burden of finding the lesions among so many histopathology slides. Furthermore, inconsistency of diagnoses results...
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Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems

Barker TT

This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety...
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Best Achievements in Pituitary and Adrenal Diseases in 2020

Ahn CH, Kim JH

Significant progress in pituitary and adrenal diseases was made in 2020. This review presents major translational and clinical advances in research on pituitary and adrenal diseases, encompassing their epidemiology, pathogenesis,...
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The Status and Treatment Outcomes in Patients with Hypopharyngeal Cancer: A Nationwide Population-based Study

Kim HB, Han KD, Joo YH

Background/Objectives: The aim of this national population-based retrospective study was to analyze the status and treatment outcome in patients with hypopharyngeal cancer. Materials & Methods: Participants were included in the KNHIS...
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Incidence and Reappraisal of Known Risk Factors Associated With Carpal Tunnel Syndrome: A Nationwide, 11-Year, Population-Based Study in South Korea

Rhee SY, Cho HE, Kim JH, Kim HS

Background and Purpose Previous studies have revealed various risk factors for carpal tunnel syndrome (CTS), but few large-scale studies have been conducted. We used data from the 11-year, longitudinal, nationwide population-based...
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Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling

Park JH, Lee H, Cho H

Purpose: The purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site. Methods: In total,...
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Characterization and Trend of Co-Infection with Neisseria gonorrhoeae and Chlamydia trachomatis from the Korean National Infectious Diseases Surveillance Database

Seo Y, Choi KH, Lee G

Purpose: We analyzed the database from the Korean National Infectious Diseases Surveillance to reveal clinical characteristics of co-infection with Neisseria gonorrhoeae (NG) and Chlamydia trachomatis (CT). Materials and Methods: Eligible cases...
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Out-of-Hospital Data: Patient Generated Health Data

Lee J, Kim HS, Kim J

Patient-generated health data (PGHD) are health-related data generated, recorded, and collected by patients or caregivers. Its main advantage is that patients can actively participate in their own health care, since...
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Medical Ethics in the Era of Artificial Intelligence Based on Medical Big Data

Na HR, Kim HS

When incorporating artificial intelligence (AI) based on medical big data into the clinical and research settings, it is important to consider the associated ethical philosophy in addition to medical behavior. Simply...
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Factors Influencing Depression: Comparison according to Economic Status

Kwon M, Seo K

Purpose: The purpose of this study was to compare factors influencing depression in elderly women according to economic status. Methods: The data were obtained from the 6th and 7th KNHNES....
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Compliance of Antihypertensive Medication and Risk of Coronavirus Disease 2019: a Cohort Study Using Big Data from the Korean National Health Insurance Service

Kim J, Kim DW, Kim Ki, Kim HB, Kim JH, Lee YG, Byeon KH, Cheong HK, the Korean Society of Hypertension

Background: There is a controversy whether it is safe to continue renin-angiotensin system blockers in patients with coronavirus disease 2019 (COVID-19). We analyzed big data to investigate whether angiotensin-converting enzyme...
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