Jeongwon Heo
Chinju, Republic of Korea
Last Updated: 09/26/2026
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Found 19 publications
Development of an Artificial Intelligence Model to Predict Endotracheal Intubation in Critically Ill Patients in Real Time.
Journal: Journal of clinical medicine
Published: April 01, 2026
AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study.
Journal: Diagnostics (Basel, Switzerland)
Published: January 28, 2026
Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs.
Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs.
Journal: Scientific reports
Published: November 25, 2024
In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables.
Journal: Journal of clinical medicine
Published: November 07, 2023
Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study.
Journal: Journal of Korean medical science
Published: June 15, 2023
Word Embedding Reveals Cyfra 21-1 as a Biomarker for Chronic Obstructive Pulmonary Disease.
Journal: Journal of Korean medical science
Published: February 18, 2021
Difference of copy number variation in blood of patients with lung cancer.
Journal: The International journal of biological markers
Published: December 14, 2020
Normothermia in Patients With Sepsis Who Present to Emergency Departments Is Associated With Low Compliance With Sepsis Bundles and Increased In-Hospital Mortality Rate.
Journal: Critical care medicine
Published: September 15, 2020
Tuberculosis-Infected Giant Bulla Treated by Percutaneous Drainage Followed by Obliteration of the Pulmonary Cavity Using Talc: Case Report.
Journal: Journal of chest surgery
Published: August 11, 2020
Cancer risk in Korean patients with gout.
Journal: The Korean journal of internal medicine
Published: May 29, 2020
Last Updated: 09/26/2026