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Hyo Suk Nam

Showing results (1-10 of 258) with videos related to

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Journal of Stroke|June 5, 2019
Gut Microbiota and Ischemic Stroke: The Role of Trimethylamine N-OxideHyo Suk Nam
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|September 25, 2009
A service-oriented medical framework for fast and adaptive information delivery in mobile environmentEunjeong Park, Hyo Suk Nam
Journal of Clinical Medicine|January 21, 2023
Advance of Thrombolysis and Thrombectomy in Acute Ischemic StrokeHyo Suk Nam, Byung Moon Kim
BMJ Open|August 26, 2019
Body mass index and clinical outcomes in patients after ischaemic stroke in South Korea: a retrospective cohort studyHeeKyoung Choi, Hyo Suk Nam, Euna Han
Journal of Medical Internet Research|April 20, 2017
Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke PatientsEunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
Geriatrics & Gerontology International|May 24, 2014
Efficacy of language-appropriate cueing on micrographia in Korean patients with Parkinson's diseaseHyangHee Kim, Ji Hye Yoon, Hyo Suk Nam
Frontiers in Neurology|September 25, 2018
A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk FactorsEunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
Journal of Stroke|January 8, 2014
Facilitating Stroke Management using Modern Information TechnologyHyo Suk Nam, Eunjeong Park, Ji Hoe Heo
Journal of Personalized Medicine|January 21, 2022
Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility StudyEunjeong Park, Kijeong Lee, Taehwa Han, et al.
Journal of Medical Internet Research|September 16, 2020
Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation StudyEunjeong Park, Kijeong Lee, Taehwa Han, et al.
Pageof 26

Showing results (1-10 of 258) with videos related to

Sort By:
Pageof 26
Journal of Stroke|June 5, 2019
Gut Microbiota and Ischemic Stroke: The Role of Trimethylamine N-OxideHyo Suk Nam
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|September 25, 2009
A service-oriented medical framework for fast and adaptive information delivery in mobile environmentEunjeong Park, Hyo Suk Nam
Journal of Clinical Medicine|January 21, 2023
Advance of Thrombolysis and Thrombectomy in Acute Ischemic StrokeHyo Suk Nam, Byung Moon Kim
BMJ Open|August 26, 2019
Body mass index and clinical outcomes in patients after ischaemic stroke in South Korea: a retrospective cohort studyHeeKyoung Choi, Hyo Suk Nam, Euna Han
Journal of Medical Internet Research|April 20, 2017
Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke PatientsEunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
Geriatrics & Gerontology International|May 24, 2014
Efficacy of language-appropriate cueing on micrographia in Korean patients with Parkinson's diseaseHyangHee Kim, Ji Hye Yoon, Hyo Suk Nam
Frontiers in Neurology|September 25, 2018
A Bayesian Network Model for Predicting Post-stroke Outcomes With Available Risk FactorsEunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
Journal of Stroke|January 8, 2014
Facilitating Stroke Management using Modern Information TechnologyHyo Suk Nam, Eunjeong Park, Ji Hoe Heo
Journal of Personalized Medicine|January 21, 2022
Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility StudyEunjeong Park, Kijeong Lee, Taehwa Han, et al.
Journal of Medical Internet Research|September 16, 2020
Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation StudyEunjeong Park, Kijeong Lee, Taehwa Han, et al.
Pageof 26