Joonnyung Heo

发表

Abstract 194: Machine Learning-Based Model Can Predict Stroke Outcome

Jihoon G Yoon, H. S. Nam, Joonnyung Heo, 2018 .

COVID-19 Outcome Prediction and Monitoring Solution for Military Hospitals in South Korea: Development and Evaluation of an Application

Hyung-Jun Kim, Y. Park, Joonnyung Heo, 2020, Journal of medical Internet research.

Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study

Hyung-Jun Kim, Joonnyung Heo, H. S. Oh, 2022, Yonsei medical journal.

Improving the Clinical Outcome in Stroke Patients Receiving Thrombolytic or Endovascular Treatment in Korea: from the SECRET Study

Dong Joon Kim, Jinkwon Kim, H. S. Nam, 2020, Journal of clinical medicine.

Immediate and Long-Term Outcomes of Reperfusion Therapy in Patients With Cancer

Dong Joon Kim, Jinkwon Kim, H. S. Nam, 2021, Stroke.

Association between Low Ankle-Brachial Index and Poor Outcomes in Patients with Embolic Stroke of Undetermined Source

H. S. Nam, Joonnyung Heo, Young Dae Kim, 2022, Journal of clinical medicine.

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

Hyung-Jun Kim, Joonnyung Heo, Deokjae Han, 2020, Journal of Medical Internet Research.

Prediction of Hidden Coronary Artery Disease Using Machine Learning in Patients With Acute Ischemic Stroke

Eunjeong Park, H. S. Nam, Jung‐Sun Kim, 2022, Neurology.

A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis

Hyung-Jun Kim, Y. Park, Joonnyung Heo, 2020, Journal of medical Internet research.

Successful Intra-arterial Stent Thrombectomy in Acute Infarction Caused by Spontaneous Middle Cerebral Artery Dissection

Joonnyung Heo, G. Kim, Jun Hong Lee, 2016 .

Early depression screening and short-term functional outcome in hospitalized patients for acute ischemic stroke

H. S. Nam, H. Lee, Joonnyung Heo, 2022, Frontiers in Neurology.

Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of South Korea

Hyung-Jun Kim, Joonnyung Heo, Deokjae Han, 2020, Journal of Intensive Care.

Risks and Benefits of Early Rhythm Control in Patients With Acute Strokes and Atrial Fibrillation: A Multicenter, Prospective, Randomized Study (the RAFAS Trial)

J. Uhm, H. Pak, B. Joung, 2022, Journal of the American Heart Association.

Association between CHADS2, CHA2DS2-VASc, ATRIA, and Essen Stroke Risk Scores and Functional Outcomes in Acute Ischemic Stroke Patients Who Received Endovascular Thrombectomy

Dong Joon Kim, Jinkwon Kim, H. S. Nam, 2022, Journal of clinical medicine.

Association between blood viscosity and early neurological deterioration in lacunar infarction

H. S. Nam, Joonnyung Heo, Young Dae Kim, 2022, Frontiers in Neurology.

Outcome in Patients Treated with Intra-arterial thrombectomy: The optiMAL Blood Pressure control (OPTIMAL-BP) Trial

Dong Joon Kim, Jinkwon Kim, Sungha Park, 2021, International journal of stroke : official journal of the International Stroke Society.

Impact of Renal Function on Short-Term Outcome After Reperfusion Therapy in Patients With Ischemic Stroke

Dong Joon Kim, Jinkwon Kim, H. S. Nam, 2022, Stroke.

Low Toe–Brachial Index Is Associated With Stroke Outcome Despite Normal Ankle–Brachial Index

H. S. Nam, H. Lee, Joonnyung Heo, 2021, Frontiers in Neurology.

Association between CHADS2, CHA2DS2-VASc, ATRIA, and Essen Stroke Risk Scores and Unsuccessful Recanalization after Endovascular Thrombectomy in Acute Ischemic Stroke Patients

Dong Joon Kim, Jinkwon Kim, H. Lee, 2022, Journal of clinical medicine.

GNE Myopathy with Congenital Thrombocytopenia

J. H. Lee, Joonnyung Heo, H. Shin, 2018 .

A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis (Preprint)

Hyung-Jun Kim, Y. Park, Joonnyung Heo, 2020 .

Impact of Sarcopenia on Functional Outcomes Among Patients With Mild Acute Ischemic Stroke and Transient Ischemic Attack: A Retrospective Study

H. Lee, Joonnyung Heo, Hyungjong Park, 2022, Frontiers in Neurology.

Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke

Jihoon G. Yoon, Joonnyung Heo, Hyungjong Park, 2019, Stroke.

Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion

Dong Joon Kim, Jinkwon Kim, H. Lee, 2021, Journal of stroke.

Prognostic value of central blood pressure on the outcomes of embolic stroke of undetermined source

Joonnyung Heo, Minho Han, I. Lee, 2023, Scientific reports.

Easy-to-use machine learning model predicting prognosis of COVID-19 patients.

Hyung-Jun Kim, Joonnyung Heo, Deokjae Han, 2020, Journal of medical Internet research.

Acute Brain Infarction in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis

Yong-Beom Park, Joonnyung Heo, S. Ahn, 2023, Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases.

Machine learning-based diagnosis for disseminated intravascular coagulation (DIC): Development, external validation, and comparison to scoring systems

Olivier Duchenne, Minkyu Kim, Jaewoo Song, 2018, PloS one.

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study (Preprint)

Hyung-Jun Kim, Joonnyung Heo, Deokjae Han, 2020 .

Care Process of Recanalization Therapy for Acute Stroke during the COVID-19 Outbreak in South Korea

H. Lee, Joonnyung Heo, Hyungjong Park, 2020, Journal of clinical neurology.

Intensive vs Conventional Blood Pressure Lowering After Endovascular Thrombectomy in Acute Ischemic Stroke: The OPTIMAL-BP Randomized Clinical Trial.

Dong Joon Kim, Kijeong Lee, H. Lee, 2023, JAMA.

Development of Smartphone Application That Aids Stroke Screening and Identifying Nearby Acute Stroke Care Hospitals

Jinkwon Kim, Hyo Suk Nam, Ji Hoe Heo, 2013, Yonsei medical journal.

Impact of Left Atrial or Left Atrial Appendage Thrombus on Stroke Outcome: A Matched Control Analysis

Joonnyung Heo, I. Lee, Hyungwoo Lee, 2023, Journal of stroke.