Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after dischargeResearch in context by Leerang Lim, Mincheol Kim, Kyungjae Cho, Dongjoon Yoo, Dayeon Sim, Ho Geol Ryu, Hyung-Chul Lee

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Nipple swab culture profile as a potential predictor of postoperative complications in autologous breast reconstruction: a retrospective study by Sun-Hyeok Kim, Yi-Jun Moon, Seung-Pil Jung, Hyung-Chul Lee, Jae-Ho Chung, Eul-Sik Yoon

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Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study by Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

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Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors by Ho Jung Choi, Garam Lee, Seung Han Shin, Seung Mi Lee, Hyung-Chul Lee, Jin A. Sohn, Jin A. Lee, Han-suk Kim

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Prediction for Perioperative Stroke Using Intraoperative Parameters by Mi‐Young Oh, Young Mi Jung, Won‐Pyo Kim, Hyung‐Chul Lee, Tae Kyong Kim, Sang‐Bae Ko, Jaehyun Lim, Seung Mi Lee

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