👨‍🏫 Assist. Prof. Dr. Seung-Bo Lee brings a rich background to his role as Assistant Professor in the Department of Medical Informatics at Keimyung University School of Medicine. Prior to this, he served as a Research Professor at Seoul National University Hospital’s Office of Hospital Information, enhancing healthcare data management. His experience includes a tenure as a Senior Research Engineer at LG CNS, contributing to innovative tech solutions. Dr. Lee’s career spans from senior research roles to academia, where he continues to integrate medical informatics with practical industry insights, driving advancements in healthcare technology and data management.

SOCIETY ACTIVITIES

“Assist. Prof. Dr. Seung-Bo Lee has been an Academician at The Korean Society of Medical Informatics since February 2023. His expertise spans medical informatics, contributing significantly to research and education in the field. Dr. Lee’s work focuses on integrating technology with healthcare, enhancing patient care through innovative informatics solutions. As an Academician, he plays a crucial role in shaping the society’s direction and fostering collaboration among medical informatics professionals. His dedication to advancing healthcare through technology is marked by his active participation in conferences and publications. 🏥💻📚”

Awards and Honors

Dr. Seung-Bo Lee holds a Ph.D. in Brain and Cognitive Engineering from Korea University. As an accomplished researcher and academician, he has contributed significantly to the field of medical informatics. His work on predictive models using machine learning techniques has been published in renowned journals such as Scientific Reports and BMC Geriatrics. Dr. Lee’s dedication to advancing healthcare through technology is evident in his multiple publications focused on EEG signal analysis, predictive modeling for healthcare outcomes, and AI applications in medical diagnostics. He is recognized for his expertise in neural networks and machine learning methodologies applied to medical data.🏆

Research Projects 

🧠Dr. Seung-Bo Lee earned his Ph.D. in Brain and Cognitive Engineering (2015-2020) and B.S. in Computer and Communication Engineering (2009-2015) from Korea University. Currently an Assistant Professor at Keimyung University School of Medicine, he previously served as a Research Professor at Seoul National University Hospital and Senior Research Engineer at LG CNS. Actively engaged in the Korean Society of Medical Informatics since 2023, his research spans predictive healthcare models using EEG and spirometry data, as published in high-impact journals. Lee’s contributions include machine learning applications in medical contexts, enhancing diagnostics and patient care.

Publication Top Notes 

Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

Predicting Parkinson’s disease using gradient boosting decision tree models with electroencephalography signals

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms

Hemodynamic instability and cardiovascular events after traumatic brain injury predict outcome after artifact removal with deep belief network analysis

Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification

Classification of computed tomography scanner manufacturer using support vector machine

A machine learning approach for predicting suicidal ideation in post stroke patients

Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability