Development and Validation of a Real-Time Service Model for Noise Removal and Arrhythmia Classification Using Electrocardiogram Signals.

Arrhythmias range from mild nuisances to potentially fatal conditions, detectable through electrocardiograms (ECGs). With advancements in wearable technology, ECGs can now be monitored on-the-go, although these devices often capture noisy data, complicating accurate arrhythmia detection. This study aims to create a new deep learning model that utilizes generative adversarial networks (GANs) for effective noise removal and ResNet for precise arrhythmia classification from wearable ECG data.

Factors Predicting Older People's Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study.

Background: Mobile health (mHealth) services enable real-time measurement of information on individuals' biosignals and environmental risk factors; accordingly, research on health management using mHealth is being actively conducted.

Objective: The study aims to identify the predictors of older people's intention to use mHealth in South Korea and verify whether chronic disease moderates the effect of the identified predictors on behavioral intentions.

Methods: A cross-sectional questionnaire study was conducted among 500 participants aged 60 to 75 years.

Association between smoking and all-cause mortality in Parkinson's disease.

We aimed to investigate the association between smoking status and all-cause mortality of Parkinson's disease (PD). Among the whole nationwide population data from Korea National Health Insurance Service, newly diagnosed PD was selected, and all-cause mortality was evaluated. The systematic review was performed through a literature search on the PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases.

Evaluation of an air quality warning system for vulnerable and susceptible individuals in Korea: an interrupted time series analysis.

Objectives: This study was conducted to elucidate the effects of an air quality warning system (AQWS) implemented in January 2015 in Korea by analyzing changes in the incidence and exacerbation rates of environmental diseases.

Methods: Data from patients with environmental diseases were extracted from the National Health Insurance Service-National Sample Cohort database from 2010 to 2019, and data on environmental risk factors were acquired from the AirKorea database. Patient and meteorological data were linked based on residential area.

Machine learning based risk prediction for Parkinson's disease with nationwide health screening data.

Although many studies have been conducted on machine learning (ML) models for Parkinson's disease (PD) prediction using neuroimaging and movement analyses, studies with large population-based datasets are limited. We aimed to propose PD prediction models using ML algorithms based on the National Health Insurance Service-Health Screening datasets. We selected individuals who participated in national health-screening programs > 5 times between 2002 and 2015.

Changes in cesarean section rate before and after the end of the Korean Value Incentive Program.

Background: The Korean government implemented a value incentive program providing incentives to providers based on C-section rates, with the rates being publicized. The program ended in 2014 after the administration decided that the effects of the incentive program were limited. In this report, we analyzed changes in C-section rates with the value incentive program.

Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review.

Purpose: The study aimed to identify which digital biomarkers are collected and which specific devices are used according to vulnerable and susceptible individual characteristics in a living-lab setting.

Materials And Methods: A literature search, screening, and appraisal process was implemented using the Web of Science, Pubmed, and Embase databases. The search query included a combination of terms related to "digital biomarkers," "devices that collect digital biomarkers," and "vulnerable and susceptible groups.

Statin Supply and Polydrug Use in Older Adults: A Focus on Drug Combinations that Reduce Bone Density.

Background: We investigated the comorbidities of individuals who were prescribed statins to identify the use of bone mineral density (BMD)-reducing drugs, examine polydrug use trends involving these drugs, and explore their relationship with osteoporosis.

Methods: We analyzed claims data from the Korean National Health Insurance Service (January 2014-December 2018). We sampled 20% of 8,379,419 patients aged ≥50 years who were prescribed statins.

Comparison of Risk of Pneumonia Caused by Fluticasone Propionate versus Budesonide in Chronic Obstructive Pulmonary Disease: A Nationwide Retrospective Cohort Study.

Introduction: Inhaled corticosteroids (ICSs) play an important role in lowering the risk of acute exacerbation of chronic obstructive pulmonary disease (COPD). However, ICSs are known to increase the risk of pneumonia. Moreover, previous studies have shown that the incidence rate of pneumonia varies depending on the type of ICS.

Lifestyle Factors and Parkinson Disease Risk: Korean Nationwide Cohort Study With Repeated Health Screening Data.

Background And Objectives: Many previous studies, mostly performed in Western countries, on the effects of lifestyle factors on Parkinson disease (PD) used baseline lifestyle characteristics without directly accounting for changes in covariate values over time. The objective of this study was to evaluate the association of repeatedly measured lifestyle factors with PD risk in a Korean population.

Methods: We conducted a nationwide population-based cohort study.

Feeding Practices and Early Childhood Caries in Korean Preschool Children.

Objectives: This study aimed to investigate the association between feeding practices and early childhood caries using representative Korean national survey data.

Methods: Data of 2772 children (aged 1-3 years) from the fourth to seventh Korean National Health and Nutrition Examination Surveys (2007-2018) were analysed. Data on decayed-filled teeth (dft) were obtained, and early childhood caries was determined as dft ≥1.

Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms.

In this study, we developed machine learning-based prediction models for early childhood caries and compared their performances with the traditional regression model. We analyzed the data of 4195 children aged 1-5 years from the Korea National Health and Nutrition Examination Survey data (2007-2018). Moreover, we developed prediction models using the XGBoost (version 1.

Risk of Pneumonia Associated with Inhaled Corticosteroid in Patients with Chronic Obstructive Pulmonary Disease: A Korean Population-Based Study.

Introduction: Inhaled corticosteroids (ICSs) are recommended for patients with frequent exacerbation of chronic obstructive pulmonary disease (COPD). However, accumulating evidence has indicated the risk of pneumonia from the use of ICS. This study aimed to investigate the association between ICS and pneumonia in the real-world clinical setting.