JoonNyung Heo

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

JoonNyung Heo, Jihoon G. Yoon, Hyungjong Park et al. · Stroke · 2019 · 609 citations · Full text

Machine Learning, Machine Learning Tool, Cerebrovascular Disease +21

Intensive vs Conventional Blood Pressure Lowering After Endovascular Thrombectomy in Acute Ischemic Stroke

Hyo Suk Nam, Young Dae Kim, JoonNyung Heo et al. · JAMA · 2023 · 144 citations · Full text

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

Hyung‐Jun Kim, Deokjae Han, Jeong-Han Kim et al. · Journal of Medical Internet Research · 2020 · 63 citations · Full text

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

Hyungwoo Lee, Il Hyung Lee, JoonNyung Heo et al. · Frontiers in Neurology · 2022 · 43 citations · Full text

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

JoonNyung Heo, Deokjae Han, Hyung‐Jun Kim et al. · Journal of Intensive Care · 2021 · 40 citations · Full text