AIMC Topic: Republic of Korea
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Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches.
PloS one
Oct 10, 2019
In this research, climate classification maps over the Korean Peninsula at 1 km resolution were generated using the satellite-based climatic variables of monthly temperature and precipitation based on machine learning approaches. Random forest (RF), ...
Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.
Journal of cardiovascular computed tomography
Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Female
Risk Factors
Adult
Male
Middle Aged
Databases, Factual
Humans
Prognosis
Machine Learning
Retrospective Studies
Decision Support Techniques
Republic of Korea
Coronary Angiography
Registries
Coronary Artery Disease
Vascular Calcification
Asymptomatic Diseases
Risk Assessment
Time Factors
Health Status
Predictive Value of Tests
A deep learning model for real-time mortality prediction in critically ill children.
Critical care (London, England)
Aug 14, 2019
BACKGROUND: The rapid development in big data analytics and the data-rich environment of intensive care units together provide unprecedented opportunities for medical breakthroughs in the field of critical care. We developed and validated a machine l...
Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers.
PloS one
Aug 6, 2019
As the airline industry has become ever-more competitive and profitability more tenuous, airline service quality management has grown more important to airlines. Although many studies have focused on the evaluation of airline service quality, some co...
Community-dwelling older adults' needs and acceptance regarding the use of robot technology to assist with daily living performance.
BMC geriatrics
Aug 5, 2019
BACKGROUND: The rate of aging in Korea is extremely fast compared to major countries. We examined the key demands of community-dwelling older adults with regard to Connected Active Space technology, which provides tailored assistance with daily livin...
Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.
Environment international
Jul 27, 2019
Recent studies have demonstrated that mobile sampling can improve the spatial granularity of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (<$300) air quality sensors could potentially offer an inexpensive and practic...
Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.
International journal of environmental research and public health
Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm.
Journal of affective disorders
Jul 4, 2019
BACKGROUND: As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depressio...
Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.
PloS one
Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
Comparison of robot-assisted modified radical neck dissection using a bilateral axillary breast approach with a conventional open procedure after propensity score matching.
Surgical endoscopy
May 7, 2019
BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate for modified radical neck dissection (MRND). The purpose of this study was to compare the surgical outcomes of robot-assisted MRND with those of a co...
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