Publication: Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients
Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients
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Fan, B., Klatt, J., Moor, M. M., Daniels, L. A., Swiss Pediatric Sepsis Study, Sanchez-Pinto, L. N., Agyeman, P. K. A., Schlapbach, L. J., & Borgwardt, K. M. (2022). Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients. Bioinformatics, 38(Suppl 1), i101–i108. https://doi.org/10.1093/bioinformatics/btac229
Abstract
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Abstract
MOTIVATION: Sepsis is a leading cause of death and disability in children globally, accounting for ∼3 million childhood deaths per year. In pediatric sepsis patients, the multiple organ dysfunction syndrome (MODS) is considered a significant risk factor for adverse clinical outcomes characterized by high mortality and morbidity in the pediatric intensive care unit. The recent rapidly growing availability of electronic health records (EHRs) has allowed researchers to vastly develop data-driven approaches like machine learning in health
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- Fan, Bowen
- Klatt, Juliane
- Moor, Michael M
- Daniels, Latasha A
- Sanchez-Pinto, Lazaro N
- Agyeman, Philipp K A
- Schlapbach, Luregn J
- Borgwardt, Karsten M
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Fan, B., Klatt, J., Moor, M. M., Daniels, L. A., Swiss Pediatric Sepsis Study, Sanchez-Pinto, L. N., Agyeman, P. K. A., Schlapbach, L. J., & Borgwardt, K. M. (2022). Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients. Bioinformatics, 38(Suppl 1), i101–i108. https://doi.org/10.1093/bioinformatics/btac229
