AIMC Topic: Republic of Korea

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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...
Self Concept Surveys and Questionnaires Adolescent Suicidal Ideation Area Under Curve Prognosis Republic of Korea Female Risk Factors Humans Neural Networks, Computer Mental Disorders Psychiatric Status Rating Scales Depression Anxiety Resilience, Psychological Suicide, Attempted Young Adult Adult Sensitivity and Specificity Male
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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...
Humans Machine Learning Prospective Studies Republic of Korea Incidence ROC Curve Diabetes Mellitus Predictive Value of Tests Female Age of Onset Aged Male Middle Aged
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Machine learning prediction of dropping out of outpatients with alcohol use disorders.

PloS one Aug 2, 2021
BACKGROUND: Alcohol use disorder (AUD) is a chronic disease with a higher recurrence rate than that of other mental illnesses. Moreover, it requires continuous outpatient treatment for the patient to maintain abstinence. However, with a low probabili...
Adult Outpatients Retrospective Studies ROC Curve Humans Male Alcoholism Republic of Korea Neural Networks, Computer Middle Aged Female Machine Learning Risk Assessment Young Adult Algorithms
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Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease.

Scientific reports Jul 26, 2021
Heterogeneous clinical manifestations and progression of chronic obstructive pulmonary disease (COPD) affect patient health risk assessment, stratification, and management. Pulmonary function tests are used to diagnose and classify the severity of CO...
Humans Neural Networks, Computer Female Aged Pulmonary Disease, Chronic Obstructive Tomography, X-Ray Computed Republic of Korea Malaysia Male Predictive Value of Tests Middle Aged Survival Analysis Deep Learning Respiratory Function Tests Cohort Studies
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Development of a system to support warfarin dose decisions using deep neural networks.

Scientific reports Jul 20, 2021
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 1...
Drug Dosage Calculations Anticoagulants Warfarin International Normalized Ratio Hospitals, University Neural Networks, Computer Physicians Retrospective Studies Republic of Korea Humans
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Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study.

International journal of environmental research and public health Jul 18, 2021
This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety disorder risk in old age. To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models. (2) Thi...
Machine Learning Algorithms Republic of Korea Female Anxiety Disorders Aged Support Vector Machine Male Humans
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Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.

Clinical nutrition (Edinburgh, Scotland) Jul 15, 2021
BACKGROUND & AIMS: Body composition analysis on CT images is a valuable tool for sarcopenia assessment. We aimed to develop and validate a deep neural network applicable to whole-body CT images of PET-CT scan for the automatic volumetric segmentation...
Male Humans Radiopharmaceuticals Sarcopenia Neural Networks, Computer Fluorodeoxyglucose F18 Middle Aged Muscle, Skeletal Intra-Abdominal Fat Nutrition Assessment Positron Emission Tomography Computed Tomography Subcutaneous Fat Body Composition Abdomen Whole Body Imaging Retrospective Studies Republic of Korea Female Aged
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Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm.

Clinical research in cardiology : official journal of the German Cardiac Society Jul 14, 2021
OBJECTIVE: Machine learning (ML) algorithm can improve risk prediction because ML can select features and segment continuous variables effectively unbiased. We generated a risk score model for mortality with ML algorithms in East-Asian patients with ...
Heart Failure Middle Aged Risk Assessment Predictive Value of Tests Registries Humans Machine Learning Prognosis Aged Survival Rate Male Republic of Korea Female
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Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.

Journal of Korean medical science Jul 12, 2021
BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed ...
Humans Retrospective Studies Republic of Korea Aged Natural Language Processing Emergency Service, Hospital Proof of Concept Study Speech Perception Patient Simulation Adult Middle Aged Deep Learning Triage Emergency Medicine
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Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea National Health and Nutrition Examination Survey.

Biosensors Jul 8, 2021
Smartwatches have the potential to support health care in everyday life by supporting self-monitoring of health conditions and personal activities. This paper aims to develop a model that predicts the prevalence of cardiovascular disease using health...
Nutrition Surveys Support Vector Machine Republic of Korea Cardiovascular Diseases Wearable Electronic Devices Logistic Models Humans Neural Networks, Computer Machine Learning Algorithms
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