Interpretable GAM Models: Predicting Sepsis in ICU Patients
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-11593-6_6
Reference33 articles.
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2. Angus, D.C., Linde-Zwirble, W.T., Lidicker, J., et al.: Epidemiology of severe sepsis in the united states: analysis of incidence, outcome, and associated costs of care. Crit. Care Med. 29(7), 1303–1310 (2001)
3. Burchardi, H., Schneider, H.: Economic aspects of severe sepsis. Pharmacoeconomics 22(12), 793–813 (2004)
4. Burdick, H., Pino, E., Gabel-Comeau, D., et al.: Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study. bioRxiv, p. 224014 (2018)
5. Burdick, H., Pino, E., Gabel-Comeau, D., et al.: Effect of a sepsis prediction algorithm on patient mortality, length of stay, and readmission. bioRxiv, p. 457465 (2018)
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