A5037668168- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Cosmology and Gravitation Theories
- Machine Learning in Healthcare
- Technology and Data Analysis
- Black Holes and Theoretical Physics
- Ethics in Clinical Research
- Colorectal Cancer Screening and Detection
- Astrophysics and Cosmic Phenomena
- Computational Physics and Python Applications
- Pressure Ulcer Prevention and Management
- Scientific Measurement and Uncertainty Evaluation
- Hydrological Forecasting Using AI
- Asthma and respiratory diseases
- Sepsis Diagnosis and Treatment
- Educational Systems and Policies
- Inhalation and Respiratory Drug Delivery
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Artificial Intelligence in Healthcare and Education
- Marine and Coastal Research
- Sleep and Work-Related Fatigue
- Neutrino Physics Research
Kangwon National University
2012-2025
Kyungpook National University
2014
Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates patients with can be predicted early, medical resources allocated efficiently. We constructed machine learning (ML) models to predict a hospital emergency department.
Background/Objectives: The methacholine bronchial provocation test (MBPT) is a diagnostic frequently used to evaluate airway hyper-reactivity. MBPT essential for diagnosing asthma; however, it can be time-consuming and resource-intensive. This study aimed develop an artificial intelligence (AI) model predict the results using forced expiratory volume in one second (FEV1) bronchodilator measurements from spirometry. Methods: dataset of spirometry measurements, including Pre-...
Falls are common among hospitalized patients, particularly affecting older adults. This study analyzed patients who experienced falls at Kangwon National University Hospital (KNUH) and classified them based on department nursing shift hours. Data from adult admitted to KNUH between 2018 2023 were an-alyzed, focusing demographics, medications, comorbidities, alcohol smoking his-tories, the Morse Fall Scale. The goal was identify key variables contributing in patients. From 2023, 336 internal...
Objectives: In the Fourth Industrial Revolution, there is a focus on managing diverse medical data to improve healthcare and prevent disease. The challenges include tracking detailed records across multiple institutions necessity of linking domestic public entities for efficient sharing. This study explores MyHealthWay, Korean platform designed facilitate integration transfer from various sources, examining its development, importance, legal implications.Methods: To evaluate management...
Background/Objectives: Gastric cancer is a leading cause of cancer-related mortality, particularly in East Asia, with notable burden Republic Korea. This study aimed to construct and develop machine learning models for the prediction gastric mortality identification risk factors. Methods: All data were acquired from Korean Clinical Data Utilization Research Excellence by multiple medical centers South A total 23,717 patients divided into two groups (all-cause 2664 disease-specific 1620)...
Pressure ulcers (PUs) are a prevalent skin disease affecting patients with impaired mobility and in high-risk groups. These increase patients’ suffering, medical expenses, burden on staff. This study introduces clinical decision support system verifies it for predicting real-time PU occurrences within the intensive care unit (ICU) by using MIMIC-IV in-house ICU data. We develop various machine learning (ML) deep (DL) models real time validate Kangwon National University Hospital (KNUH)...
Maritime transportation is one of the most economically efficient methods transporting large volumes cargo and serves as a crucial vehicle for global trade, accounting about 80% worldwide commerce. In particular, since Korea surrounded by sea on three sides, more than 90% its import export heavily relies maritime transportation. However, COVID-19 pandemic that began in late 2019 has brought changes traffic patterns due to border controls economic activity. Korea, which highly dependent...