AIMC Topic: Republic of Korea

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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
Female Risk Factors Aged Aged, 80 and over Continuous Renal Replacement Therapy Acute Kidney Injury Republic of Korea Area Under Curve APACHE Organ Dysfunction Scores Mortality Male Middle Aged Severity of Illness Index ROC Curve Humans Machine Learning Algorithms
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Predicting future onset of depression among community dwelling adults in the Republic of Korea using a machine learning algorithm.

Neuroscience letters Jan 31, 2020
Because depression has high prevalence and cause enduring disability, it is important to predict onset of depression among community dwelling adults. In this study, we aimed to build a machine learning-based predictive model for future onset of depre...
Forecasting Republic of Korea Female Adult Humans Machine Learning Algorithms Surveys and Questionnaires Longitudinal Studies Male Independent Living Middle Aged Depression
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Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

International journal of environmental research and public health Jan 31, 2020
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic ...
Risk Assessment Logistic Models Area Under Curve Mortality Neural Networks, Computer Machine Learning Republic of Korea Alcoholic Intoxication
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Economic Evaluation of Robot-Based Telemedicine Consultation Services.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Jan 22, 2020
Through information and communication technology, telemedicine can deliver medical care without time and place restrictions, increasing health care accessibility in medically underdeveloped regions. Although there is growing interest in using robots...
Republic of Korea Robotics Telemedicine Cost-Benefit Analysis Referral and Consultation Humans
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Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.

Radiation oncology (London, England) Nov 27, 2019
BACKGROUND: Accurate and standardized descriptions of organs at risk (OARs) are essential in radiation therapy for treatment planning and evaluation. Traditionally, physicians have contoured patient images manually, which, is time-consuming and subje...
Female Reproducibility of Results Aged Male Middle Aged Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Republic of Korea Radiotherapy Organs at Risk Radiotherapy Planning, Computer-Assisted Observer Variation
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The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

Skeletal radiology Nov 23, 2019
OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this study, we evaluated machine learning models for identifying individuals with abnormal bone mineral density (BMD) through an analysis of spine X-ray feat...
Retrospective Studies Absorptiometry, Photon Osteoporosis Republic of Korea Female Sensitivity and Specificity Radiography Humans Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Spine Machine Learning Predictive Value of Tests Bone Density
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Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique.

Meat science Nov 12, 2019
Pricing of Hanwoo beef in the Korean market is primarily based on meat quality, and particularly on marbling score. The ability to accurately predict marbling score early in the life of an animal is extremely valuable for producers to meet the requir...
Reproducibility of Results Animals Image Processing, Computer-Assisted Machine Learning Ultrasonography Red Meat Republic of Korea Cattle Food Quality
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Predicting the Swallow-Related Quality of Life of the Elderly Living in a Local Community Using Support Vector Machine.

International journal of environmental research and public health Nov 3, 2019
This study developed a support vector machine (SVM) algorithm-based prediction model with considering influence factors associated with the swallowing quality-of-life as the predictor variables and provided baseline information for enhancing the swa...
Aged Aged, 80 and over Cross-Sectional Studies Male Quality of Life Support Vector Machine Deglutition Disorders Deglutition Humans Republic of Korea Female
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Machine learning-based prediction of radiographic progression in patients with axial spondyloarthritis.

Clinical rheumatology Oct 30, 2019
INTRODUCTION: Machine learning is applied to characterize the risk and predict outcomes in multi-dimensional data. The prediction of radiographic progression in axial spondyloarthritis (axSpA) remains limited. Hence, we tested the feasibility of supe...
Humans Republic of Korea Machine Learning Female Retrospective Studies Adult Spine Male Spondylarthritis Middle Aged Disease Progression Severity of Illness Index Radiography
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Atrial fibrillation classification based on convolutional neural networks.

BMC medical informatics and decision making Oct 29, 2019
BACKGROUND: The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990-2010, respectively. In this cont...
Republic of Korea Disease Progression Humans Atrial Fibrillation Hospitals Neural Networks, Computer Female Glycosphingolipids Diagnosis, Computer-Assisted Electrocardiography Male
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