A5040244812- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Traditional Chinese Medicine Studies
- Groundwater and Isotope Geochemistry
- Nursing Diagnosis and Documentation
- Landslides and related hazards
- Diverse Approaches in Healthcare and Education Studies
- Fire effects on ecosystems
- Korean Urban and Social Studies
- Groundwater flow and contamination studies
- Emergency and Acute Care Studies
- Methane Hydrates and Related Phenomena
- Hydrological Forecasting Using AI
- Technology and Data Analysis
- Emergency Medicine Education and Research
- Groundwater and Watershed Analysis
- Species Distribution and Climate Change
Hongik University
2023-2025
Hanyang University
2021-2022
Kyung Hee University Medical Center
2022
Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied EDs in South Korea. For rapid triage, we studied machine learning-based systems composed of a speech recognition model and natural language processing-based classification.
Recent publications on vulnerability assessment of weather-related disasters exhibit three main drawbacks: (1) minimal explanation high contributing features; (2) limitted validating conduction; and (3) partial presentation validation results. To bridge this research gap, our offers a detailed exploration the most influential factors Socio-Economic Vulnerability Index (SEVI), developed from comprehensive dataset socio-economic data. The SEVI is then internally conducted through Monte Carlo...
Background:The purpose of this study was to use machine learning identify risk factors (other than systolic and diastolic blood pressure) for hypertension. Methods:The population comprised 23,170 adults (selected from the KNHANES 2016-2019), whom 7,500 (32.4%) had hypertension.We developed learning-based classification models diagnosing hypertension using computerized demographic examination survey database subjects study.Random forest (RF)-and gradient boosting (GBM)-based algorithms were...