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Sanggyu Kwak

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Open access Sep 2026

Repeated Internal Validation and Interpretation of Models Predicting Surgery Documented at a Study Institution Within 90 Days After Acute Knee Trauma: A Secondary Analysis

Background and Objectives: A previous study using this cohort evaluated threshold-dependent performance and clinical decision utility for predicting surgery after acute knee trauma. This secondary analysis assessed the stability of discrimination, probabilistic accuracy, calibration, model ranking, and predictor import...

Seong-Jong Hwang, J. Lee, Won-Kee Choi et al. · 0 citations
Open access Jul 2026

Development of Machine Learning Models for Predicting Surgical Site Infection After Spinal Surgery

Machine learning models showed acceptable performance for predicting postoperative SSI after spinal surgery, suggesting that conventional statistical approaches may remain clinically useful in structured datasets.

Kwang-Ryeol Kim, Gi-Young Park, Dong Hyuck Kim et al. · 0 citations

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