Výsledky vyhledávání - "Yonghoon Jeon"

Akademický článek

Big data analysis and artificial intelligence in epilepsy – common data model analysis and machine learning-based seizure detection and forecasting

Autor: Yoon Gi Chung, Yonghoon Jeon, Sooyoung Yoo, Hunmin Kim, Hee Hwang

Publikováno v: Clinical and Experimental Pediatrics, Vol 65, Iss 6, Pp 272-282 (2022)

There has been significant interest in big data analysis and artificial intelligence (AI) in medicine. Ever-increasing medical data and advanced computing power have enabled the number of big data analyses and AI studies to increase rapidly. Here we

Externí odkaz: https://doaj.org/article/a4fde00f47ca4637baa2b586a8db89f3

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Akademický článek

Deep Learning-Based Detection of Epileptiform Discharges for Self-Limited Epilepsy With Centrotemporal Spikes

Autor: Yonghoon Jeon, Yoon Gi Chung, Taehyun Joo, Hunmin Kim, Hee Hwang, Ki Joong Kim

Publikováno v: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2939-2949 (2022)

Centrotemporal spike-waves (CTSWs) are typical interictal epileptiform discharges (IEDs) observed in centrotemporal regions in self-limited epilepsy with centrotemporal spikes (SLECTS). This study aims to develop a deep learning-based approach for au

Externí odkaz: https://doaj.org/article/1145ac25dda24365b937419a2ef7d3a4

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Akademický článek

Deep Convolutional Neural Network Based Interictal-Preictal Electroencephalography Prediction: Application to Focal Cortical Dysplasia Type-II

Autor: Yoon Gi Chung, Yonghoon Jeon, Sun Ah Choi, Anna Cho, Hunmin Kim, Hee Hwang, Ki Joong Kim

Publikováno v: Frontiers in Neurology, Vol 11 (2020)

We aimed to differentiate between the interictal and preictal states in epilepsy patients with focal cortical dysplasia (FCD) type-II using deep learning-based classifiers based on intracranial electroencephalography (EEG). We also investigated the p

Externí odkaz: https://doaj.org/article/addf3bc3385140e99481dce45ead0ac6

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Akademický článek

Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model

Autor: Hunmin Kim, Sooyoung Yoo, Yonghoon Jeon, Soyoung Yi, Seok Kim, Sun Ah Choi, Hee Hwang, Ki Joong Kim

Publikováno v: Frontiers in Neurology, Vol 11 (2020)

The purpose of this pilot study was to analyze treatment pathways of pediatric epilepsy using the common data model (CDM) based on electronic health record (EHR) data. We also aimed to reveal whether CDM analysis was feasible and applicable to epilep

Externí odkaz: https://doaj.org/article/bff8c2dacb8a4b25ae573671e41fb4ea

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Akademický článek

Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks

Autor: Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim

Publikováno v: IEEE Access, Vol 7, Pp 96495-96505 (2019)

Sleep staging is an important part of clinical neurology. However, it is still performed manually by technical experts and is labor-intensive and time-consuming. To overcome these obstacles in the manual sleep staging process, a large number of machi

Externí odkaz: https://doaj.org/article/f20b887c262a4ac58f00ef60de828b51

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Diagnosis and Screening of Velocardiofacial Syndrome by Evaluating Facial Photographs Using a Deep Learning-Based Algorithm

Autor: Rong-Min Baek, Anna Cho, Yoon Gi Chung, Yonghoon Jeon, Hunmin Kim, Hee Hwang, Yujin Myung

Purpose: The early detection and diagnosis of rare genetic diseases are crucial for maintaining patient health and well-being. However, the diagnosis of said diseases can be challenging owing to their rarity, limited clinical experience of physicians

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::62706384a2a725c24b7cba67cd80cb62
https://doi.org/10.21203/rs.3.rs-2601333/v1

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Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence

Autor: Yoon Gi Chung, Yonghoon Jeon, Ryeo Gyeong Kim, Anna Cho, Hunmin Kim, Hee Hwang, Jieun Choi, Ki Joong Kim

Publikováno v: Journal of clinical neurology (Seoul, Korea). 18(5)

Alterations in human brain functional networks with maturation have been explored extensively in numerous electroencephalography (EEG) and functional magnetic resonance imaging studies. It is known that the age-related changes in the functional netwo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49713359023db346638399e2ed970363
https://pubmed.ncbi.nlm.nih.gov/36062776

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