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Enhancing Clinical Cardiac Care: Predicting In-Hospital Cardiac Arrest With Machine Learning
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Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep LearningHugh Cho, Hyunho Park, Jinsik Park, Joon-myoung Kwon, Yeha Lee, Youngnam Lee대한중환자의학회 · Acute and Critical Care2018 · 제33권 제3호A Machine Learning Approach for Predicting In-Hospital Cardiac Arrest Using Single-Day Vital Signs, Laboratory Test Results, and International Classification of Disease-10 Block for DiagnosisPark Chan Seok, Park Hae-Il대한진단검사의학회 · Annals of Laboratory Medicine2025 · 제45권 제2호Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary SyndromeAjchara Phu-ang, Sarawuth Limprasert대한의료정보학회 · Healthcare Informatics Research2023 · 제29권 제2호Transforming rapid response team through artificial intelligence이광하대한중환자의학회 · Acute and Critical Care2025 · 제40권 제1호Predicting Successful Defibrillation in Ventricular Fibrillation using Wave Analysis and Neuro-fuzzy윤영로, 황성오, Hyun-Sook Lee, Jae-Woo Shin대한의용생체공학회 · 의공학회지2006 · 제27권 제2호Utilizing deep learning for accurate assessment of aortic valve stenosis: case series for clinical applicationsJaeik Jeon, Jiesuck Park, Jiyeon Kim, Yeonyee E. Yoon한국심초음파학회 · Journal of Cardiovascular Imaging2025 · 제33권
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