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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Detalles Bibliográficos
Autores principales: Song, Jie, Gao, Yuan, Yin, Pengbin, Li, Yi, Li, Yang, Zhang, Jie, Su, Qingqing, Fu, Xiaojie, Pi, Hongying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987326/
https://www.ncbi.nlm.nih.gov/pubmed/33776495
http://dx.doi.org/10.2147/RMHP.S297838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987326/
https://www.ncbi.nlm.nih.gov/pubmed/33776495
http://dx.doi.org/10.2147/RMHP.S297838

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