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Identification of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

https://jkms.org/DOIx.php?id=10.3346/jkms.2024.39.e56 Published JKMS 2024.01 Author Jiwoong Kim, Sun Jung Lee, Bonggyun Ko, Myungeun Lee, Young-Shin Lee, Ki Hong Lee

The mobiCARE™ 23년 11월호

Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction

https://ebooks.iospress.nl/volumearticle/66602?_gl=1*1tr4wmj*_up*MQ..*_ga*MTYxMjE5MDMxMC4xNzE0NDUyNTg0*_ga_6N3Q0141SM*MTcxNDQ1MjU4My4xLjEuMTcxNDQ1MjYwNC4wLjAuMA.. Published medinfo 2023 Author Ja Hyung Koo, Sun Jung Lee, Yun Kwan Kim, Hee Seok Song

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort StudyBackground: Cardiac arrest (CA) is the leading cause of death in critically ill patients. Clinical research has shown that early identification of CA reduces mortality. Algorithms capable of predicting CA with high sensitivity have

The mobiCARE™ 23년 10월호

Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates

Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection CandidatesA cardiopulmonary exercise test (CPET) is essential for lung resection. However, performing a CPET can be challenging. This study aimed to develop a machine learning model to estimate maximal oxygen consumption (VO2max)

The mobiCARE™ 23년 9월호