AIMC Topic: Republic of Korea
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Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea.
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Apr 10, 2024
Lateral flow assays have been widely used for detecting coronavirus disease 2019 (COVID-19). A lateral flow assay consists of a Nitrocellulose (NC) membrane, which must have a specific lateral flow rate for the proteins to react. The wicking rate is ...
Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
International journal of medical informatics
Mar 30, 2024
BACKGROUND: Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pandemic, problematic smartphon...
Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study.
European journal of pediatrics
Mar 30, 2024
Early prediction of surgical necrotizing enterocolitis (sNEC) in preterm infants is important. However, owing to the complexity of the disease, identifying infants with NEC at a high risk for surgical intervention is difficult. We developed a machine...
Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes.
Korean journal of radiology
Mar 20, 2024
OBJECTIVE: This study aims to explore the opinions on the insurance coverage of artificial intelligence (AI), as categorized based on the distinct value elements offered by AI, with a specific focus on patient-centered outcomes (PCOs). PCOs are disti...
Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022.
Journal of medical Internet research
Mar 19, 2024
BACKGROUND: In recent years, Korean society has increasingly recognized the importance of nurses in the context of population aging and infectious disease control. However, nurses still face difficulties with regard to policy activities that are aime...
Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.
International journal of legal medicine
Mar 12, 2024
Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and err...
Who is behind the robot? The role of public social workers in implementing robotic eldercare program in South Korea.
Social work in health care
Mar 6, 2024
A companion robot named Hyodol is a digital technology implemented for eldercare in South Korea. Drawing insights from semi-structured interviews with public social workers actively involved in the Hyodol care program, this study explores how social ...
Exploring the Use of Socially Assistive Robots Among Socially Isolated Korean American Older Adults.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Feb 26, 2024
This pilot study explored whether a socially assistive robot (SAR) would have positive effects on Korean American immigrant older adults' health behaviors and emotional well-being and whether the older adults would be receptive to the SAR. A total of...
Association between household income levels and nutritional intake of allergic children under 6 years of age in Korea: 2019 Korea National Health and Nutrition Examination Survey and application of machine learning.
Frontiers in public health
Jan 8, 2024
INTRODUCTION: This study investigated the prevalence of allergic diseases in Korean children aged 6 and below, focusing on the interplay between nutritional status, household income levels, and allergic disease occurrence.
Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types.
International journal of injury control and safety promotion
Jan 2, 2024
Construction workers face a high risk of various occupational accidents, many of which can result in fatalities. This study aims to develop a prediction model for nine prevalent types of construction accidents, utilizing construction tasks, activitie...
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