Publications by authors named "Seungbo Lee"

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Compact machine learning model for perioperative stroke prediction prior to surgery: A retrospective cohort study.
Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

Sci Rep· November 2025

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Prediction of longitudinal outcomes and novel cluster identification in epilepsy.
Kyung-Il Park, Sungeun Hwang, Youmin Shin, Yong-Jeong Kim, Seung-Bo Lee, Soon-Tae Lee, Sang Kun Lee

Sci Rep· November 2025

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Performance of magnetic resonance imaging in discriminating between intra- and extradural versus extradural-only nerve sheath tumor.
Seungbo Lee, Hyun-Jun Jang, Sung Jun Ahn, Mina Park, Bio Joo, Hong Seon Lee

Neurochirurgie· October 2025

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Prediction of personalized antiseizure medications response based on clinical signatures in epilepsy.
Kyung-Il Park, Youmin Shin, Sungeun Hwang, Yong-Jeong Kim, Seung-Bo Lee, Soon-Tae Lee, Sang Kun Lee

Sci Rep· September 2025

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Novel Bone Scan Features for Predicting Prognosis in Men With Bone Metastatic Prostate Cancer: A Retrospective Study.
Byung Woo Kim, Jang Hee Han, Sang Hyun Yoo, Minh-Tung Do, Minho Kang, Seung-Bo Lee

J Korean Med Sci· August 2025

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Review of the 2025 Spring Conference of the Korean Society of Medical Informatics: AI and Human Collaboration in the Age of Generative AI.
Jooyun Lee, Younghee Lee, Seo Yeon Baik, Jisan Lee, Seung-Bo Lee

Healthc Inform Res· July 2025

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Diagnosis of Alzheimer's Disease and Frontotemporal Dementia From Electroencephalography Signals.
Dong-Geun Lee, Seung-Bo Lee

IEEE Trans Neural Syst Rehabil Eng· June 2025

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Automated scan quality evaluation for DDH using transfer learning: Development of a novel ensemble system.
Yeon-Kyoung Ko, Seung-Bo Lee, Si-Wook Lee

PLoS One· May 2025

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Machine Learning-Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study.
Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res· March 2025

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The Validity of a Smartphone-Based Application for Assessing Cognitive Function in the Elderly.
Jin-Young Min, Duri Kim, Hana Jang, Hyunjoo Kim, Soojin Kim, Seungbo Lee

Diagnostics (Basel)· January 2025

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Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study.
Joo Seong Kim, Doyun Kwon, Kyungdo Kim, Sang Hyub Lee, Seung-Bo Lee, Min Woo Lee, Jun Kyu Lee

Sci Rep· October 2024

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Increased coherence predicts medical refractoriness in patients with temporal lobe epilepsy on monotherapy.
Sungeun Hwang, Youmin Shin, Jun-Sang Sunwoo, Hyoshin Son, Seung-Bo Lee, Sang Kun Lee

Sci Rep· September 2024

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Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data.
Doyun Kwon, Young Mi Jung, Hyung-Chul Lee, Tae Kyong Kim, Kwangsoo Kim, Garam Lee, Seung-Bo Lee, Seung Mi Lee

J Biomed Inform· August 2024

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A novel deterioration prediction system for mild COVID-19 patients in Korea: a retrospective study.
Seung-Bo Lee, Jin-Yeong Kang, Eui Kyu Chie, Ye Seul Bae

Sci Rep· August 2024

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Machine Learning-Based Discrimination of Cardiovascular Outcomes in Patients With Hypertrophic Cardiomyopathy.
Tae-Min Rhee, Yeon-Kyoung Ko, Hyung-Kwan Kim, Seung-Bo Lee, Bong-Seong Kim

JACC Asia· May 2024

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Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19.
Jin-Yeong Kang, Ye Seul Bae, Eui Kyu Chie, Seung-Bo Lee

Sensors (Basel)· December 2023

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Machine learning model for predicting immediate postoperative desaturation using spirometry signal data.
Youmin Shin, Yoon Jung Kim, Juseong Jin, Seung-Bo Lee, Hee-Soo Kim

Sci Rep· December 2023

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Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population.
Kyu-Nam Heo, Jeong Yeon Seok, Young-Mi Ah, Kwang-Il Kim, Seung-Bo Lee, Ju-Yeun Lee

BMC Geriatr· December 2023

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Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning.
Youmin Shin, Sungeun Hwang, Seung-Bo Lee, Hyoshin Son, Kon Chu, Sang Kun Lee

Sci Rep· December 2023

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Machine learning-based prediction model for emergency department visits using prescription information in community-dwelling non-cancer older adults.
Soyoung Park, Changwoo Lee, Seung-Bo Lee, Ju-Yeun Lee

Sci Rep· November 2023

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Menthol excites dural afferent neurons by inhibiting leak K conductance in rats.
Seungbo Lee, Il-Sung Jang

Neurosci Lett· September 2023

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Real-Time Evaluation of Cerebral Autoregulation Based on Near-Infrared Spectroscopy to Predict Clinical Outcome after Bypass Surgery in Moyamoya Disease.
Junmo Kim, Eun-Jin Ha, Hee-Soo Kim, Eun-Young Park, Hyung-Chul Lee, Seung-Bo Lee

Biomed Res Int· June 2023

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Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.
Jaesung Yoo, Ilhan Yoo, Ina Youn, Sung-Min Kim, Ri Yu, Seung-Bo Lee

Comput Methods Programs Biomed· November 2022

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Using the Axial Oblique View of Computed Tomography (CT) in Evaluating Femoral Anteversion: A Comparative Cadaveric Study.
Kwang-Soon Song, Chang-Jin Yon, Yu-Ran Heo, Jae-Ho Lee, Seung-Bo Lee, Kyung-Jae Lee, Si-Wook Lee

Diagnostics (Basel)· July 2022

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