Kyoung‐Sae
Dados Biográficos
| ID | 7931048 |
|---|---|
| NOME | Kyoung‐Sae |
| SOBRENOME | Kyoung‐Sae |
| ASSINATURA | SAE K |
| AFILIAÇÕES | Gachon University |
| ORCID | 0000-0002-0148-9827 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Functional connectivity correlates of psychological flexibility
Thalamo-Habenular Connection Differences Between Patients With Major Depressive Disorder and Normal Controls
Background: The thalamus and habenula are thought to be key brain regions in the etiology of major depressive disorder (MDD); however, few studies have investigated the structural connection between them. We compared the number of white matter tracts between the thalamus and habenula between patient with MDD and normal controls (NCs). Methods: The habenula and thalamus region of interest masks were extracted from brain magnetic resonance imaging …
Development of a Suicide Prediction Model for the Elderly Using Health Screening Data
Suicide poses a serious problem globally, especially among the elderly population. To tackle the issue, this study aimed to develop a model for predicting suicide by using machine learning based on the elderly population. To obtain a large sample, the study used the big data health screening cohort provided by the National Health Insurance Sharing Service. By applying a machine learning technique, a predictive model that comprehensively utilized …
Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of Covid-19 Based on Artificial Intelligence Applications
Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global c…
Prevalence and incidence of Parkinson’s disease and drug-induced parkinsonism in Korea
Our study suggests that the incidence of PD has gradually decreased whereas, the incidence of DIP increased from 2012 to 2015. Further studies are warranted to examine possible causes of increased DIP incidence in order to develop management strategy for parkinsonism
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Prevalence and incidence of Parkinson’s disease and drug-induced parkinsonism in Korea
Our study suggests that the incidence of PD has gradually decreased whereas, the incidence of DIP increased from 2012 to 2015. Further studies are warranted to examine possible causes of increased DIP incidence in order to develop management strategy for parkinsonism
Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of Covid-19 Based on Artificial Intelligence Applications
Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global c…
Thalamo-Habenular Connection Differences Between Patients With Major Depressive Disorder and Normal Controls
Background: The thalamus and habenula are thought to be key brain regions in the etiology of major depressive disorder (MDD); however, few studies have investigated the structural connection between them. We compared the number of white matter tracts between the thalamus and habenula between patient with MDD and normal controls (NCs). Methods: The habenula and thalamus region of interest masks were extracted from brain magnetic resonance imaging …
Development of a Suicide Prediction Model for the Elderly Using Health Screening Data
Suicide poses a serious problem globally, especially among the elderly population. To tackle the issue, this study aimed to develop a model for predicting suicide by using machine learning based on the elderly population. To obtain a large sample, the study used the big data health screening cohort provided by the National Health Insurance Sharing Service. By applying a machine learning technique, a predictive model that comprehensively utilized …
Functional connectivity correlates of psychological flexibility
Medicine (4 obras) · Population (3 obras) · Environmental health (2 obras) · Functional Brain Connectivity Studies (2 obras) · Internal Medicine (2 obras) · Neuroscience (2 obras) · Psychology (2 obras) · Advanced Neuroimaging Techniques and Applications (1 obras) · Amygdala (1 obras) · Artificial neural network (1 obras)