AIMC Topic: Republic of Korea

Clear Filters Showing 181 to 190 of 372 articles

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.
Periodontitis Gastroesophageal Reflux Social Class Machine Learning Databases, Factual Retrospective Studies Republic of Korea Pregnancy Female Premature Birth Adult Logistic Models Humans
View on PubMed DOI

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...
Machine Learning Computer Simulation Republic of Korea Female Risk Factors Humans Severe Fever with Thrombocytopenia Syndrome Climate Aged Travel-Related Illness Male Epidemiological Models Middle Aged Mountaineering Regression Analysis
View on PubMed DOI

: 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...
Humans Male Artificial Intelligence Trust Republic of Korea Surveys and Questionnaires Female Robotics
View on PubMed DOI

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...
Public Health Surveillance Temporomandibular Joint Disorders Odds Ratio Disease Susceptibility Male Middle Aged Risk Assessment Models, Theoretical Humans Artificial Intelligence Machine Learning Republic of Korea Female Risk Factors Aged Adult
View on PubMed DOI

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...
Humans Adult Male Middle Aged Cohort Studies Liver Neoplasms Artificial Intelligence Computer Simulation Republic of Korea Female Hepatitis B, Chronic Carcinoma, Hepatocellular Asian People Antiviral Agents White People Follow-Up Studies Guanine Tenofovir
View on PubMed DOI

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
Radiography, Thoracic Software Republic of Korea Radiography Radiology Humans Artificial Intelligence
View on PubMed DOI

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 ...
Switzerland Microsatellite Instability Italy Japan Humans United Kingdom Retrospective Studies Deep Learning Republic of Korea Cohort Studies Female United States Reproducibility of Results Germany Epstein-Barr Virus Infections Aged Histological Techniques Stomach Neoplasms Male Middle Aged
View on PubMed DOI

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...
Databases, Factual Republic of Korea Vaccination Vaccines Adverse Drug Reaction Reporting Systems Humans Drug-Related Side Effects and Adverse Reactions Product Surveillance, Postmarketing Machine Learning Anaphylaxis Agranulocytosis
View on PubMed DOI

Deep graph neural network-based prediction of acute suicidal ideation in young adults.

Scientific reports Aug 4, 2021
Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general popu...
Female Risk Factors Young Adult Adult Sensitivity and Specificity Male Anxiety Suicide, Attempted Psychiatric Status Rating Scales Humans Neural Networks, Computer Mental Disorders Prognosis Republic of Korea Suicidal Ideation Depression Area Under Curve Resilience, Psychological Self Concept Surveys and Questionnaires Adolescent
View on PubMed DOI

Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study.

Scientific reports Aug 3, 2021
In this study, we aimed to propose a novel diabetes index for the risk classification based on machine learning techniques with a high accuracy for diabetes mellitus. Upon analyzing their demographic and biochemical data, we classified the 2013-16 Ko...
Prospective Studies Predictive Value of Tests Republic of Korea Age of Onset Female Aged Male Middle Aged Incidence ROC Curve Diabetes Mellitus Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals