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MACHINE LEARNING TO PREDICT DELIRIUM AND LONG-TERM COGNITIVE DECLINE FOLLOWING SURGERY
Prevention of postoperative delirium and long-term cognitive decline (LTCD) requires risk quantification that is valid in the general clinical setting. Existing prediction rules were primarily developed using stepwise regression, which tends to be overly influenced by specific data sets. We explored...
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| Pubblicato in: | Innov Aging |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6229479/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/geroni/igy023.751 |
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