Kyung Soo Chung

Assistant professor

Yonsei University College of Medicine

South Korea

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About

Dr. Kyung Soo Chung is an Assistant Professor at Yonsei University College of Medicine in South Korea. His research areas include deep learning applications in healthcare, respiratory failure management, sepsis outcomes, and the assessment of tuberculosis. His recent publications highlight advancements in patient-specific assessments and predictive scoring systems for critical care. Dr. Chung is dedicated to enhancing patient-centered care through innovative research methodologies.

Articles (20)

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2025

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2021

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2020

Collaborators (16)

Song Yee Kim

Clinical Assistant Professor

Yonsei University College of Medicine

SOUTH KOREA

Kyung Soo Chung

Research Interests

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Articles (20)

A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG

Trends and management of acute respiratory failure in hospitalized patients: a multicenter retrospective study in South Korea

Association Between Plasma Granzyme B Levels, Organ Failure, and 28-Day Mortality Prediction in Patients with Sepsis

Clinical Characteristics and Treatment Outcomes of Pulmonary Diseases Caused by Coinfections With Multiple Nontuberculous Mycobacterial Species

Usefulness of the 4A’s test for detecting delirium in critically ill patients: a multicenter prospective observation study

PPFL: A privacy-preserving personalized progressive federated learning method for leveraging different healthcare institution-specific features

Development of a Simple Scoring System for Predicting Discharge Safety from the Medical ICU to Low-Acuity Wards: The Role of the Sequential Organ Failure Assessment Score, Albumin, and Red Blood Cell Distribution Width

Predicting Successful Weaning through Sonographic Measurement of the Rapid Shallow Breathing Index

Risk Factors for Unfavorable Outcomes of Tuberculosis in Korea: Implications for Patient-Centered Care in Tuberculosis Treatment

Identification of Biomarkers for the Diagnosis of Sepsis-Associated Acute Kidney Injury and Prediction of Renal Recovery in the Intensive Care Unit

Biomarker-Based Assessment Model for Detecting Sepsis: A Retrospective Cohort Study

Three-dimensional label-free morphology of CD8 + T cells as a sepsis biomarker

Impairment of Mitochondrial ATP Synthesis Induces RIPK3-dependent Necroptosis in Lung Epithelial Cells During Lung Injury by Lung Inflammation

Reference values of skeletal muscle area for diagnosis of sarcopenia using chest computed tomography in Asian general population

Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis

The Association between Behavioral Risk Factors and Nontuberculous Mycobacterial Pulmonary Disease

Soluble IL-2R Levels Predict in-Hospital Mortality in COVID-19 Patients with Respiratory Failure

Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

Development and validation of a novel sepsis biomarker based on amino acid profiling

Predictors and outcomes of sepsis-induced cardiomyopathy in critically ill patients

Collaborators (16)

Song Yee Kim

Ji Ye Jung

Ji-Eun Park

Su Hwan Lee

Ji Hoon Kim

Yu Rang Park

Jin Hwa Lee

Sang Hoon Lee

Jongmin Lee

Arom Choi

Youngmok Park

Jae Hwa Cho

Young Seok Lee

Sung Phil Chung

Jong-Seok Moon

Moo-Suk Park

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