Eunjeong Park

Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Acute Ischemic Stroke

Cardiopulmonary Resuscitation

Convolutional Neural Network

Atrial Fibrillation

Top Venues

Journal of clinical medicine

Journal of medical Internet research

Journal of personalized medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Minho Han, Haram Joo, Hyungwoo Lee, Joon Nyung Heo, Jae Wook Jung, Young Dae Kim, Eunjeong Park, Hyo Suk Nam
Arterial Stiffness Predicts the Outcome of Endovascular Treatment in Patients with Acute Ischemic Stroke. Journal of clinical medicine 13 (14) (2024)
Minho Han, Haram Joo, Hyungwoo Lee, Joon Nyung Heo, Jae Wook Jung, Young Dae Kim, Eunjeong Park, Hyo Suk Nam
Arterial Stiffness Predicts the Outcome of Endovascular Treatment in Patients with Acute Ischemic Stroke. Journal of clinical medicine 13 (14) (2024)
Joon Nyung Heo, Hyung Woo Lee, Sun Yoon, Min Jeoung Kim, Eunjeong Park, Byung Moon Kim, Dong Joon Kim, Young Dae Kim, Byung-Hoon Kim, Hyo Suk Nam
On-Device Deep Learning to Detect Carotid Stenosis With Smartphones: Development and Validation. Stroke (2024)
Minho Han, Haram Joo, Hyungwoo Lee, Joon Nyung Heo, Jae Wook Jung, Young Dae Kim, Eunjeong Park, Hyo Suk Nam
Arterial Stiffness Predicts the Outcome of Endovascular Treatment in Patients with Acute Ischemic Stroke. Journal of clinical medicine 13 (14) (2024)
Joon Nyung Heo, Hyung Woo Lee, Young Seog, Sungeun Kim, Jang Hyun Baek, Hyung Jong Park, Kwon-Duk Seo, Gyu Sik Kim, Han-Jin Cho, Minyoul Baik, Joonsang Yoo, Jinkwon Kim, Jun Lee, Yoon-Kyung Chang, Tae-Jin Song, Jung Hwa Seo, Seong Hwan Ahn, Heow Won Lee, Il Kwon, Eunjeong Park, Byung Moon Kim, Dong Joon Kim, Young Dae Kim, Hyo Suk Nam
Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation. Stroke (2023)
Eunjeong Park, Kijeong Lee, Taehwa Han, Hyo Suk Nam
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 Study. Journal of personalized medicine 12 (1) (2022)
Sooho Choe, Eunjeong Park, Wooseok Shin, Bonah Koo, Dongjin Shin, Chul-Woo Jung, Hyung-Chul Lee, Jeong Min Kim
Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development. JMIR medical informatics 9 (9) (2021)
Eunjeong Park, Kijeong Lee, Taehwa Han, Hyo Suk Nam
Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study. Journal of medical Internet research 22 (9) (2020)
Minho Han, Young Dae Kim, Jin Kyo Choi, Junghye Choi, Jimin Ha, Eunjeong Park, Jinkwon Kim, Tae-Jin Song, Ji Hoe Heo, Hyo Suk Nam
Predicting Stroke Outcomes Using Ankle-Brachial Index and Inter-Ankle Blood Pressure Difference. Journal of clinical medicine 9 (4) (2020)
Jeong Min Kim, Myunghun Chae, Seo Young Song, Young-Ah Kim, Eunjeong Park
Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data. Journal of clinical medicine 8 (9) (2019)
Eunjeong Park, Seo Young Song, Hyo Suk Nam
Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients. Journal of medical Internet research 19 (4) (2017)