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Hyoshin Son

As seen in: MDPI, Physician's Weekly
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Articles

Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data

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By Kyung-Il Park, Sungeun Hwang, Hyoshin Son, Jangsup Moon
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data

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By Sungeun Hwang, Hyoshin Son, Jangsup Moon, Kyung-Il Park
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 27 August 2024 / Approved: 27 August 2024 / Online: 27 August 2024 (18:35:19 CEST) Park, K.-I.; Hwang, S.; Son, H.; Moon, J.; Lee, S.-T.; Jung, K.-H.; Jung, K.-Y.; Chu, K.; Lee, S. K. Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data. Preprints 2024, 2024081948.
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Predicting Parkinson’s disease using gradient boosting decision tree models with electroencephalography signals.

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By Seung-Bo Lee, Yong-Jeong Kim, Sungeun Hwang, Hyoshin Son
| Physician's Weekly
Parkinson’s disease (PD) is a neurodegenerative disorder with only symptomatic treatments currently available. Although correct, early diagnoses of PD are important, the existing diagnostic method based on pathologic examinations only has an accuracy of approximately 80.6%. Although electroencephalography (EEG)-based assistive technology has been introduced, it has been difficult to implement in practice due to the high computational complexity and low accuracy of the analysis methods.
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