Dongjoon Yoo

Incheon, Republic of Korea

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 9 publications

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Journal: Diagnostics (Basel, Switzerland)

Published: April 13, 2026

Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial.

Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial.

Journal: Diagnostics (Basel, Switzerland)

Published: December 05, 2025

DeePedIMV: Deep learning model for early prediction of invasive mechanical ventilation in critically ill children.

DeePedIMV: Deep learning model for early prediction of invasive mechanical ventilation in critically ill children.

Journal: Heart & lung : the journal of critical care

Published: October 14, 2025

Enhancing Cardiac Arrest Prediction in Critically Ill Patients: A Sequence-Based Embedding Approach with Mamba.

Enhancing Cardiac Arrest Prediction in Critically Ill Patients: A Sequence-Based Embedding Approach with Mamba.

Journal: Studies in health technology and informatics

Published: August 08, 2025

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge.

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge.

Journal: EClinicalMedicine

Published: September 16, 2024

External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.

External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.

Journal: Critical care medicine

Published: February 21, 2024

Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation.

Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation.

Journal: Critical care (London, England)

Published: December 01, 2023

Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data.

Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data.

Journal: Journal of clinical medicine

Published: October 18, 2023

Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study.

Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study.

Journal: BMC pediatrics

Published: June 16, 2023

Showing 1-9 of 9

Last Updated: 09/26/2026