AIMC Topic: Republic of Korea

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Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

Scientific reports Feb 10, 2022
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the leading cause of human death. Since it is difficult for physicians to screen thousands of people, high-accuracy and interpretable methods need to be prese...
Machine Learning Nutrition Surveys Republic of Korea Support Vector Machine Female Cerebrovascular Disorders Male Risk Factors Heart Disease Risk Factors Cardiovascular Diseases Humans Prevalence
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Asymmetry between right and left fundus images identified using convolutional neural networks.

Scientific reports Jan 27, 2022
We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South Korea, an...
Datasets as Topic Diagnostic Techniques, Ophthalmological Humans Algorithms Retrospective Studies Image Processing, Computer-Assisted Fundus Oculi Republic of Korea Deep Learning
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Temporal Prediction of Paralytic Shellfish Toxins in the Mussel Using a LSTM Neural Network Model from Environmental Data.

Toxins Jan 12, 2022
Paralytic shellfish toxins (PSTs) are produced mainly by (formerly ). Since 2000, the National Institute of Fisheries Science (NIFS) has been providing information on PST outbreaks in Korean coastal waters at one- or two-week intervals. However, a d...
Republic of Korea Temperature Animals Water Neural Networks, Computer Marine Toxins Salinity Mytilus Tidal Waves Time Factors Models, Theoretical Environmental Monitoring
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Artificial intelligence predicts clinically relevant atrial high-rate episodes in patients with cardiac implantable electronic devices.

Scientific reports Jan 7, 2022
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial high-rate episodes (AHREs), which can be recorded by a pacemaker. We aimed to develop ML-based models to predict clinically relevant AHREs based on the...
Pacemaker, Artificial Clinical Decision Rules Humans Aged, 80 and over Registries ROC Curve Artificial Intelligence Male Atrial Fibrillation Models, Statistical Machine Learning Cohort Studies Female Aged Prospective Studies Republic of Korea
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Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.

PloS one Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Male Speech Reception Threshold Test Middle Aged Speech Perception Infant Auditory Threshold Models, Statistical Adolescent Machine Learning Discrimination Learning Audiometry, Pure-Tone Aged, 80 and over Humans Algorithms Hearing Reproducibility of Results Young Adult Child, Preschool Neural Networks, Computer Republic of Korea Female Aged Hearing Loss Adult Child Infant, Newborn Computational Biology
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Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network.

Sensors (Basel, Switzerland) Dec 25, 2021
Patient similarity research is one of the most fundamental tasks in healthcare, helping to make decisions without incurring additional time and costs in clinical practices. Patient similarity can also apply to various medical fields, such as cohort a...
Neural Networks, Computer Republic of Korea Cohort Studies Humans
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Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.

BMC pulmonary medicine Dec 7, 2021
BACKGROUND: Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), however, chest X-ray (CXR) has limited performance in the detection of pneumonia. We aimed to evaluate the performance of a deep learning-based compute...
Pneumonia Computers Radiography, Thoracic Republic of Korea Febrile Neutropenia Female Deep Learning Male Cohort Studies Middle Aged Decision Support Systems, Clinical Humans Aged Sensitivity and Specificity
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Marine Data Prediction: An Evaluation of Machine Learning, Deep Learning, and Statistical Predictive Models.

Computational intelligence and neuroscience Nov 27, 2021
Nowadays, ocean observation technology continues to progress, resulting in a huge increase in marine data volume and dimensionality. This volume of data provides a golden opportunity to train predictive models, as the more the data is, the better the...
Models, Statistical Machine Learning Republic of Korea Deep Learning
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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...
Republic of Korea Female Male Sex Factors Humans Machine Learning
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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...
Neural Networks, Computer Algorithms Humans Republic of Korea Electrocardiography
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