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Kyung Soo Chung

Yonsei University - Division of Pulmonology

Korea, Republic of (South Korea)

SCHOLARLY PAPERS

3

DOWNLOADS

245

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Estimation of Non-Newtonian Patient-Specific Blood Viscosity Via Photoplethysmography Using a Neural Network with a Physics-Informed Loss Function

Number of pages: 12 Posted: 01 Oct 2024
Yonsei University, Yonsei University, Korea University - Korea University Ansan Hospital, Yonsei University - Severance Hospital, Yonsei University - Severance Hospital, Yonsei University - Division of Pulmonology and Yonsei University - College of Engineering
Downloads 117 (617,542)

Abstract:

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Blood viscosity, Photoplethysmography, Wearable healthcare, Artificial intelligence, Physics-informed loss function

2.

Large-Scale Multicenter Validation of a Deep Learning–Based Early Warning System for Predicting Clinical Deterioration

Number of pages: 37 Posted: 07 Sep 2025
Yonsei University - Division of Pulmonology, AITRICS Corp, AITRICS Corp, Yonsei University - Division of Pulmonology, Yonsei University, AITRICS Corp, Yonsei University - Gangnam Severance Hospital, AITRICS Corp and Yonsei University - Division of Pulmonology
Downloads 85 (783,685)

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artificial intelligence, clinical deterioration, deep Learning, rapid response team, early warning system

3.

Effective Use of an Advanced Isolation Unit During the COVID-19 Pandemic: A Retrospective Cohort Study

Number of pages: 29 Posted: 10 Oct 2020
Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonology, Yonsei University - Division of Pulmonary and Critical Care Medicine, Yonsei University - Division of Pulmonology, Yonsei University - Division of Infectious Diseases, Yonsei University - Infection Control Office, Yonsei University - Department Laboratory Medicine, Yonsei University - Department Laboratory Medicine, Yonsei University - Department of Emergency Medicine, Yonsei University - Department of Emergency Medicine, Yonsei University - Division of Pulmonology and Yonsei University - Division of Pulmonology
Downloads 43 (1,145,425)

Abstract:

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COVID-19, cross infections, patient isolation, severe acute respiratory syndrome coronavirus 2