Zobrazeno 1 - 10 of 79 pro vyhledávání: '"Hee Seok Song"'
2
Akademický článek
Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study
Autor: Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee, Ja Hyung Koo, Gyung Chul Kim, Hee Seok Song, Minji Lee
Publikováno v: Journal of Medical Internet Research, Vol 26, p e62890 (2024)
BackgroundCardiac arrest (CA) is one of the leading causes of death among patients in the intensive care unit (ICU). Although many CA prediction models with high sensitivity have been developed to anticipate CA, their practical application has been c
Externí odkaz: https://doaj.org/article/d176d3470a9d4fc8acc69ac147499374
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4
Akademický článek
Three-Day Monitoring of Adhesive Single-Lead Electrocardiogram Patch for Premature Ventricular Complex: Prospective Study for Diagnosis Validation and Evaluation of Burden Fluctuation
Autor: Hyo-Jeong Ahn, Eue-Keun Choi, So-Ryoung Lee, Soonil Kwon, Hee-Seok Song, Young-Shin Lee, Seil Oh
Publikováno v: Journal of Medical Internet Research, Vol 26, p e46098 (2024)
BackgroundWearable electrocardiogram (ECG) monitoring devices are used worldwide. However, data on the diagnostic yield of an adhesive single-lead ECG patch (SEP) to detect premature ventricular complex (PVC) and the optimal duration of wearing an SE
Externí odkaz: https://doaj.org/article/2515e0db1f2641e89ded736c6b5fa7ed
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5
Akademický článek
Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study
Autor: Yun Kwan Kim, Ja Hyung Koo, Sun Jung Lee, Hee Seok Song, Minji Lee
Publikováno v: Journal of Medical Internet Research, Vol 25, p e48244 (2023)
BackgroundCardiac arrest (CA) is the leading cause of death in critically ill patients. Clinical research has shown that early identification of CA reduces mortality. Algorithms capable of predicting CA with high sensitivity have been developed using
Externí odkaz: https://doaj.org/article/6a95281eed4d41de9b922f4d82268072
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6
Akademický článek
Enhanced thermal diffusion in the vertical direction of flexible polyimide composite films with magnetically alignable h-BN platelets via ferrofluids hybridization
Autor: Hee Seok Song, Chanil Park, Youn-Sang Bae, Yong Seok Kim, Ho Sun Lim, Youngjae Yoo
Publikováno v: Journal of Materials Research and Technology, Vol 20, Iss , Pp 2921-2930 (2022)
A facile approach is proposed to improve the anisotropic heat conduction of polyimide composite films containing hexagonal boron nitride (h-BN), thermally conductive filler with high anisotropy, via surface hybridization with ferrofluids as magnetic
Externí odkaz: https://doaj.org/article/fc555b751c8b489f8a9c6e5bed5313a5
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7
Akademický článek
Comparison Between the 24-hour Holter Test and 72-hour Single-Lead Electrocardiogram Monitoring With an Adhesive Patch-Type Device for Atrial Fibrillation Detection: Prospective Cohort Study
Autor: Soonil Kwon, So-Ryoung Lee, Eue-Keun Choi, Hyo-Jeong Ahn, Hee-Seok Song, Young-Shin Lee, Seil Oh, Gregory Y H Lip
Publikováno v: Journal of Medical Internet Research, Vol 24, Iss 5, p e37970 (2022)
BackgroundThere is insufficient evidence for the use of single-lead electrocardiogram (ECG) monitoring with an adhesive patch-type device (APD) over an extended period compared to that of the 24-hour Holter test for atrial fibrillation (AF) detection
Externí odkaz: https://doaj.org/article/6df60270a55c4683b16f5bb0a325427f
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8
Explainable AI Warning Model Using Ensemble Approach for In-Hospital Cardiac Arrest Prediction: A Retrospective Cohort Study (Preprint)
Autor: Yun Kwan Kim, Ja Hyung Koo, Sun Jung Lee, Hee Seok Song, Minji Lee
BACKGROUND Cardiac arrest (CA) is the leading cause of death in critically ill patients, and clinical research has shown that the early identification of CA reduces mortality. Algorithms capable of predicting CA through multivariate time-series data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b066332a1e7be8dd00650a7aeddd730
https://doi.org/10.2196/preprints.48244
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9
Akademický článek
Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients
Autor: Soonil Kwon, So-Ryoung Lee, Eue-Keun Choi, Hyo-Jeong Ahn, Hee-Seok Song, Young-Shin Lee, Seil Oh
Publikováno v: Sensors, Vol 21, Iss 9, p 3122 (2021)
There are few reports on head-to-head comparisons of electrocardiogram (ECG) monitoring between adhesive single-lead and Holter devices for arrhythmias other than atrial fibrillation (AF). This study aimed to compare 24 h ECG monitoring between the t
Externí odkaz: https://doaj.org/article/dca5eccca7964793a5e79a9957cca015
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