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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Ngā kaituhi matua:	Song J, Gao Y, Yin P, Li Y, Zhang J, Su Q, Fu X, Pi H
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Dove Medical Press 2021-03-01
Rangatū:	Risk Management and Healthcare Policy
Ngā marau:	pressure ulcer adverse event machine learning risk management
Urunga tuihono:	https://www.dovepress.com/the-random-forest-model-has-the-best-accuracy-among-the-four-pressure--peer-reviewed-article-RMHP
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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

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