The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses

Author:

Qu ChaoranORCID,Luo Weixiang,Zeng Zhixiong,Lin Xiaoxu,Gong Xuemei,Wang Xiujuan,Zhang Yu,Li YunORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference41 articles.

1. Predicting pressure injury in critical care patients: a machine-learning model;Alderden;Am. J. Crit. Care,2018

2. Nursing interventions for pressure injury prevention among critically ill patients: a systematic review;Alshahrani;J. Clin. Nurs.,2021

3. Predicting the development of surgery-related pressure injury using a machine learning algorithm model;Cai;J. Nurs. Res.,2021

4. Artificial neural network: a method for prediction of surgery-related pressure injury in cardiovascular surgical patients;Chen;J. Wound, Ostomy Cont. Nurs.,2018

5. Development and validation of an intraoperatively acquired pressure ulcer risk prediction model for adults receiving cardiovascular surgery;Chen;J. Nurs. Sci.,2019

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