Hyun-lim Yang
Daejeon, Republic of Korea
Last Updated: 09/26/2026
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Found 22 publications
Development and validation of a deep learning-based model for estimating stroke volume and blood pressures simultaneously using electrocardiogram and photoplethysmogram.
Journal: Digital health
Published: March 02, 2026
Effects of anaesthesia type on development of persistent postoperative opioid utilisation: a South Korean nationwide cohort study.
Journal: Anaesthesia
Published: January 30, 2026
Large language model-augmented offline reinforcement learning framework for sepsis management in critical care.
Journal: NPJ digital medicine
Published: November 05, 2025
Development and internal validation of a deep learning algorithm for intraoperative arterial pressure-based stroke volume index estimation in children: a single-center retrospective study.
Journal: BMC medical informatics and decision making
Published: October 07, 2025
Deep Learning-Based Arterial Blood Pressure Waveform Generation Using Photoplethysmography for Non-Invasive Hemodynamic Monitoring.
Journal: Studies in health technology and informatics
Published: August 08, 2025
Multi-parameter prediction of extubation failure using spontaneous breathing trial and post-spontaneous breathing trial rest period data.
Journal: Digital health
Published: July 30, 2025
Associations of driving pressure and mechanical power with postoperative pulmonary complications in one-lung ventilated surgery.
Journal: Journal of clinical anesthesia
Published: January 28, 2025
Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database.
Journal: Korean journal of anesthesiology
Published: November 26, 2024
Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study.
Journal: Digital health
Published: May 01, 2024
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: March 21, 2024
The effect of selection bias on the performance of a deep learning-based intraoperative hypotension prediction model using real-world samples from a publicly available database.
Journal: British journal of anaesthesia
Published: January 25, 2024
Last Updated: 09/26/2026