Publications by authors named "Yeha Lee"

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Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics.
Léon L E Cigrang, Basile F E Curchod, Rebecca A Ingle, Aaron Kelly, Jonathan R Mannouch, Yeha Lee

J Phys Chem A· August 2025

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Novel artificial intelligence model using electrocardiogram for detecting acute myocardial infarction needing revascularization.
Kyung Hoon Cho, Young Hoon Ji, Sunghoon Joo, Mineok Chang, Seok Oh, Seung Hun Lee, Namho Lee, Yeha Lee

Eur Heart J Digit Health· July 2025

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Editorial Expression of Concern: Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram.
Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Hyung-Seok Lee, Yeha Lee

Sci Rep· April 2025

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Specialized ECG data augmentation method: leveraging precordial lead positional variability.
Jeonghwa Lim, Yeha Lee, Wonseuk Jang, Sunghoon Joo

Biomed Eng Lett· March 2025

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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram.
Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Hyung-Seok Lee, Yeha Lee

Sci Rep· October 2024

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Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data.
Taehwa Kim, Yunwon Tae, Hye Ju Yeo, Jin Ho Jang, Kyungjae Cho, Yeha Lee, Narae Lee

J Clin Med· November 2023

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Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study.
Younga Kim, Hyeongsub Kim, Jaewoo Choi, Kyungjae Cho, Dongjoon Yoo, Yeha Lee, Narae Lee

BMC Pediatr· October 2023

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Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events.
Yunseob Shin, Kyung-Jae Cho, Yeha Lee, Yu Hyeon Choi, Jae Hwa Jung

Acute Crit Care· November 2022

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Author Correction: Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.
JungMin Choi, Sungjae Lee, Mineok Chang, Yeha Lee, Gyu Chul Oh, Hae-Young Lee

Sci Rep· October 2022

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Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.
JungMin Choi, Sungjae Lee, Mineok Chang, Yeha Lee, Gyu Chul Oh, Hae-Young Lee

Sci Rep· August 2022

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An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm.
Ju Youn Kim, Kyung Geun Kim, Yunwon Tae, Mineok Chang, Seung-Jung Park, Yeha Lee

Front Cardiovasc Med· July 2022

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Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm.
Changho Han, Oyeon Kwon, Mineok Chang, Sunghoon Joo, Yeha Lee, Jin Soo Lee, Seong-Joon Lee

Front Cardiovasc Med· April 2022

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Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection.
Ryoung-Eun Ko, Oyeon Kwon, Kyung-Jae Cho, Yeon Joo Lee, Joon-Myoung Kwon, Yeha Lee

J Korean Med Sci· April 2022

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Development and validation of a deep-learning-based pediatric early warning system: A single-center study.
Seong Jong Park, Kyung-Jae Cho, Oyeon Kwon, Hyunho Park, Yeha Lee

Biomed J· February 2022

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Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection.
Byeong Tak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals-Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study.
Changho Han, Youngjae Song, Hong-Seok Lim, Yunwon Tae, Jong-Hwan Jang, Byeong Tak Lee, Yeha Lee

J Med Internet Res· September 2021

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A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards.
Yeon Joo Lee, Kyung-Jae Cho, Oyeon Kwon, Hyunho Park, Yeha Lee, Man-Jong Lee

Resuscitation· June 2021

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Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.
Jinwoo Cho, ByeongTak Lee, Joon-Myoung Kwon, Yeha Lee, Hyunho Park

ASAIO J· March 2021

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Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record.
Byeong Tak Lee, O-Yeon Kwon, Hyunho Park, Kyung-Jae Cho, Joon-Myoung Kwon, Yeha Lee

Crit Care Med· November 2020

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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.
Joon-Myoung Kwon, Soo Youn Lee, Ki-Hyun Jeon, Yeha Lee, Kyung-Hee Kim, Myong-Mook Lee

J Am Heart Assoc· April 2020

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.
Kyung-Jae Cho, Oyeon Kwon, Joon-Myoung Kwon, Yeha Lee, Hyunho Park

Crit Care Med· April 2020

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Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services.
Da-Young Kang, Kyung-Jae Cho, Oyeon Kwon, Joon-Myoung Kwon, Ki-Hyun Jeon, Yeha Lee

Scand J Trauma Resusc Emerg Med· March 2020

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Validation of deep-learning-based triage and acuity score using a large national dataset.
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, Seungwoo Lee, Hyunho Park

PLoS One· April 2019

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Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning.
Youngnam Lee, Joon-Myoung Kwon, Yeha Lee, Hyunho Park, Hugh Cho

Acute Crit Care· August 2018

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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, Seungwoo Lee, Jinsik Park

J Am Heart Assoc· June 2018

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