Publications by authors named "Choa Yun"
Article Synopsis
- * Our research examined heart disease risks, using data from over 3.3 million participants in Korea, focusing on the effects of vaccine type and COVID-19 infection within 21 days post-vaccination.
- * Findings showed a higher heart disease risk in those receiving mRNA vaccines and in individuals infected with COVID-19, particularly among younger recipients of mRNA vaccines, suggesting a need for alternative vaccine options for this group and further research on the mechanisms involved.
Crop pests reduce productivity, so managing them through early detection and prevention is essential. Data from various modalities are being used to predict crop diseases by applying machine learning methodology. In particular, because growth environment data is relatively easy to obtain, many attempts are made to predict pests and diseases using it.
View Article and Find Full Text PDFObjectives: Changes in sedation levels over a long time in patients who are mechanically ventilated are unknown. Therefore, we investigated the long-term sedation levels of these patients by classifying them into different longitudinal patterns.
Design: This was a multicentre, prospective, longitudinal, and observational study.
Objective: Complications associated with hypertension can be alleviated by providing necessary medical services. However, there may be disparities in their provision depending on regional differences. Thus, this study aimed to examine the effects of regional healthcare disparities on complications in patients with hypertension in South Korea.
View Article and Find Full Text PDFBackground: Current international guidelines recommend against deep sedation as it is associated with worse outcomes in the intensive care unit (ICU). However, in Korea the prevalence of deep sedation and its impact on patients in the ICU are not well known.
Methods: From April 2020 to July 2021, a multicenter, prospective, longitudinal, noninterventional cohort study was performed in 20 Korean ICUs.
Background: There are regional gaps in the access to medical services for patients with chronic kidney disease (CKD), and it is necessary to reduce those gaps, including the gaps involving medical costs.
Objective: This study aimed to analyze regional differences in the medical costs associated with CKD in the South Korean population.
Methods: This longitudinal cohort study included participants randomly sampled from the National Health Insurance Service-National Sample Cohort of South Korea.
Detecting early signs of plant diseases and pests is important to preclude their progress and minimize the damages caused by them. Many methods are developed to catch signs of diseases and pests from plant images with deep learning techniques, however, detecting early signs is still challenging because of the lack of datasets to train subtle changes in plants. To solve these challenges, we built an automatic data acquisition system for the accumulation of a large dataset of plant images and trained an ensemble model to detect targeted plant diseases and pests.
View Article and Find Full Text PDFPurpose: This study investigated the relationship between medical service use and healthcare vulnerability, pre- and post-gastric cancer diagnosis. Differences between healthcare-vulnerable and healthcare-nonvulnerable regions identified inequities that require intervention.
Methods: This cohort study was done using the National Health Insurance claims data of patients diagnosed with gastric cancer between 2004 and 2013.
Background: The gap in treatment and health outcomes after diagnosis of pancreatic cancer is a major public health concern. We aimed to investigate the differences in the health outcomes and treatment of pancreatic cancer patients in healthcare vulnerable and non-vulnerable areas.
Methods: This retrospective cohort study evaluated data from the Korea National Health Insurance Corporation-National Sample Cohort from 2002 to 2019.