Author

J. Heo

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Open access Oct 2026

Machine Learning Prediction of Early ICU-to-Ward Transfer in Patients with Sepsis: Development, External Validation, and Retrospective Cohort Study

Early identification of patients likely to undergo ICU-to-ward transfer may inform transfer planning in sepsis. We developed LightGBM models using first 24 h ICU data from MIMIC-IV and evaluated them in a temporal internal test set and eICU-CRD. In MIMIC-IV, eligible patients met Sepsis-3 criteria by 24 h and remained...

N. Ha, Hyeon-Uk Lee, Chan Kyeol Kim et al. · Hospitals · 0 citations

Open access Aug 2026

Deep Learning-Based Classification for Grading of Respiratory Distress Syndrome on Neonatal Chest Radiographs.

A deep learning-based multi-class classification model for automated grading of respiratory distress syndrome (RDS) severity on neonatal chest radiographs may provide objective and interpretable radiographic assessment of RDS severity and support more consistent radiographic evaluation in NICU.

Seung-Hak Lee, Sumin Jung, Eun Hee Lee et al. · Neonatology · 0 citations