Prediction of Incident Delirium Using a Random Forest classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-018-1109-0/fulltext.html
Reference45 articles.
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2. Inouye, S. K., Rushing, J. T., Foreman, M. D. et al., Does delirium contribute to poor hospital outcomes?: A three-site epidemiologic study. J. Gen. Intern. Med. 13:234–242, 1998. https://doi.org/10.1046/j.1525-1497.1998.00073.x .
3. Ely, E. W., Gautam, S., Margolin, R. et al., The impact of delirium in the intensive care unit on hospital length of stay. Intensive Care Med. 27:1892–1900, 2001. https://doi.org/10.1007/s00134-001-1132-2 .
4. Witlox, J., Eurelings, L. S. M., De Jonghe, J. F. M. et al., Delirium in Elderly Patients and the Risk of Postdischarge Mortality. JAMA 304:443–451, 2010. https://doi.org/10.1001/jama.2010.1013 .
5. Rudolph, J. L., and Marcantonio, E. R., Postoperative Delirium: Acute change with long-term implications. Anesth. Analg. 112:1202–1211, 2011. https://doi.org/10.1213/ANE.0b013e3182147f6d .
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