AIMC Topic: Republic of Korea
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Gender differences in under-reporting hiring discrimination in Korea: a machine learning approach.
Epidemiology and health
Nov 17, 2021
OBJECTIVES: This study was conducted to examine gender differences in under-reporting hiring discrimination by building a prediction model for workers who responded "not applicable (NA)" to a question about hiring discrimination despite being eligibl...
Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems.
Computer methods and programs in biomedicine
Nov 10, 2021
BACKGROUND AND OBJECTIVES: Most deep-learning-related methodologies for electrocardiogram (ECG) classification are focused on finding an optimal deep-learning architecture to improve classification performance. However, in this study, we proposed a m...
Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.
Journal of Korean medical science
Nov 8, 2021
BACKGROUND: This study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.
Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.
Scientific reports
Nov 8, 2021
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Kore...
: An investigation of public trust in South Korea.
Journal of communication in healthcare
Nov 2, 2021
BACKGROUND: Humanoid robots with artificial intelligence have been implemented in many healthcare facilities including hospitals, nursing homes, and many others. Due to the development of technology and the increasing use of humanoid robots, it is ex...
Risk factor assessments of temporomandibular disorders via machine learning.
Scientific reports
Oct 5, 2021
This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs). Data were retrieve...
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B.
Journal of hepatology
Oct 2, 2021
BACKGROUND & AIMS: Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to develop and validate an artificial intelligence-assisted prediction model of...
Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology.
Korean journal of radiology
Sep 13, 2021
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.
The Lancet. Digital health
Aug 17, 2021
BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We therefore aimed to develop and validate deep learning-based classifiers ...
Machine Learning Approach for Active Vaccine Safety Monitoring.
Journal of Korean medical science
Aug 9, 2021
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active...
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