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The Random Forest Model Has the Best Accuracy Among the Four Pressure Ulcer Prediction Models Using Machine Learning Algorithms
PURPOSE: Build machine learning models for predicting pressure ulcer nursing adverse event, and find an optimal model that predicts the occurrence of pressure ulcer accurately. PATIENTS AND METHODS: Retrospectively enrolled 5814 patients, of which 1673 suffer from pressure ulcer events. Support vect...
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| Pubblicato in: | Risk Manag Healthc Policy |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Dove
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7987326/ https://ncbi.nlm.nih.gov/pubmed/33776495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/RMHP.S297838 |
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