상세 보기

황승연 프로필 사진

황승연

Hwang, Sung Yeon

응급의학과

2014

2026

연도별 연구 활동 현황

전체 104건 중 1번부터 10번까지의 결과를 표시합니다.

2026

Article

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data

Article

Development and validation of a bacteremia prediction score for adult emergency department patients using hybrid machine learning and regression

Article

Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department

Article

Age-Comorbidity Interactions and Clinical Outcomes in Septic Shock: An Emergency Department-Based Multicenter Cohort Study

Article

Effect of norepinephrine initiation timing on mortality in septic shock: a multicenter cohort study

Article

Traumatic brain injury from diaper change-related falls in children younger than 3 years: an evaluation of South Korean national emergency department registry data

2025

Article

AI-driven carotid artery compressibility assessment via point-of-care ultrasound for blood pressure estimation in critically ill and post-resuscitation patients: a prospective observational study

Article

From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department

Article

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department

Article

The Impact of Introducing a Temporary Telemedicine Policy on Primary Care Visits: An Analysis of National Claims Data in South Korea

상세 보기

황승연

자료유형

발행연도

키워드

언어

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data

Development and validation of a bacteremia prediction score for adult emergency department patients using hybrid machine learning and regression

Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department

Age-Comorbidity Interactions and Clinical Outcomes in Septic Shock: An Emergency Department-Based Multicenter Cohort Study

Effect of norepinephrine initiation timing on mortality in septic shock: a multicenter cohort study

Traumatic brain injury from diaper change-related falls in children younger than 3 years: an evaluation of South Korean national emergency department registry data

AI-driven carotid artery compressibility assessment via point-of-care ultrasound for blood pressure estimation in critically ill and post-resuscitation patients: a prospective observational study

From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department

The Impact of Introducing a Temporary Telemedicine Policy on Primary Care Visits: An Analysis of National Claims Data in South Korea