Jin-Man Jung

Prof

Seoul National University Hospital

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Jin-Man Jung is a faculty member at Korea University Ansan Hospital in South Korea. His research focuses on areas including wearable ECG systems, machine learning applications in ischemic stroke, and the clinical implications of atrial fibrillation. He has published extensively on topics such as the relationship between alcohol consumption and cardiovascular events, as well as the risk factors associated with stroke outcomes in various patient populations.

Articles (19)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (17)

Deok Hee Lee

SOUTH KOREA

Jin-Man Jung

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

An Energy-Efficient Real-Time Wearable ECG Acquisition System With Near-Data Prediagnosis for Mobile Applications

New Directions in Infection-Associated Ischemic Stroke

Reduced Alcohol Consumption and Major Adverse Cardiovascular Events Among Individuals With Previously High Alcohol Consumption.

Association Between the Timing of Atrial Fibrillation Detection and Functional Outcome Following Mechanical Thrombectomy

Global intracranial arterial tortuosity is associated with intracranial atherosclerotic burden

Center of Pressure- and Machine Learning-based Gait Score and Clinical Risk Factors for Predicting Functional Outcome in Acute Ischemic Stroke

Corrigendum to “D-dimer to fibrinogen ratio predicts early neurological deterioration in ischemic stroke with atrial fibrillation” [Thromb. Res. 229 (2023) 219–224, (S0049384823002268), (10.1016/j.thromres.2023.07.014)]

The 2022 FASEB Virtual Catalyst Conference on the Cardiac Interatrial Septum and Stroke Risk, December 7, 2022

Obesity paradox and stroke outcomes according to stroke subtype: a propensity score-matched analysis

Stroke-Specific Predictors of Major Bleeding in Anticoagulated Patients With Stroke and Atrial Fibrillation: A Nationwide Multicenter Registry-Based Study

Machine learning application in ischemic stroke diagnosis, management, and outcome prediction: a narrative review

Incidence and risk of stroke in Korean patients with congenital heart disease

Deep-Learning-Based Stroke Screening Using Skeleton Data from Neurological Examination Videos

Gait ability on center of pressure excursion using a pressure-sensitive mat in the elderly with ischemic stroke: a case–control study with propensity score matching

Plasma Total Homocysteine Level Is Related to Unfavorable Outcomes in Ischemic Stroke With Atrial Fibrillation

Risk of ischaemic stroke in patients with transient global amnesia: a propensity-matched cohort study

Major Adverse Cardiovascular Events in Korean Congenital Heart Disease Patients: A Nationwide Age- and Sex-Matched Case-Control Study

High-resolution magnetic resonance imaging for the follow-up of intracranial arterial dissections

Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning

Collaborators (17)

Deok Hee Lee

Bum Joon Kim

Yonghwan Kim

Woo‐Keun Seo

Moon Ho Park

Sung Hyuk Heo

Mark J. Fisher

Hyunjin Park

Jun Young Chang

Jeong-Min Kim

Jae-woo Lee

Yunsun Song

Hong Ju Shin

Yong-Jae Kim

Sung-Hwan Kim

Jin-Seok Kim

Mi-Yeon Eun

Make your next move.