The Random Forest Model Has the Best Accuracy Among the Four Pressure Ulcer Prediction Models Using Machine Learning Algorithms

Jie Song,1 Yuan Gao,2 Pengbin Yin,3 Yi Li,1 Yang Li,2 Jie Zhang,4 Qingqing Su,1 Xiaojie Fu,2 Hongying Pi5 1Medical School of Chinese PLA, Beijing, People’s Republic of China; 2First Medical Center, Chinese PLA General Hospital, Beijing, People’s Republic of China; 3Fouth Medical Center,...

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Autori principali:	Song J, Gao Y, Yin P, Li Y, Zhang J, Su Q, Fu X, Pi H
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Dove Medical Press 2021-03-01
Serie:	Risk Management and Healthcare Policy
Soggetti:	pressure ulcer adverse event machine learning risk management
Accesso online:	https://www.dovepress.com/the-random-forest-model-has-the-best-accuracy-among-the-four-pressure--peer-reviewed-article-RMHP
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