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Machine learning predicts non-thyroidal illness syndrome (NTIS) occurrence and mortality in sepsis patients
0
Zitationen
9
Autoren
2025
Jahr
Abstract
XGBoost and LASSO models showed promising performance in predicting NTIS occurrence and mortality in sepsis patients, respectively, and integrating them with clinical risk factors may improve risk stratification and support clinical decision-making. However, the findings are derived from a single-center dataset, and the use of data imputation to address missing values may introduce model instability, warranting cautious interpretation and external validation.
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