Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm

Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm

Chengcheng Li,1 Conghui Liao,2 Xuehui Meng,3 Honghua Chen,4 Weiling Chen,4 Bo Wei,5 Pinghua Zhu1 1School of Humanities and Social Sciences, Guangxi Medical University, Nanning, 530021, People’s Republic of China; 2School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People&a...

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Bibliographic Details
Main Authors: Li C, Liao C, Meng X, Chen H, Chen W, Wei B, Zhu P
Format: Article
Language:English
Published: Dove Medical Press 2021-04-01
Series:Patient Preference and Adherence
Subjects:
random forest
inpatient satisfaction
public hospitals
key influencing factors
Online Access:https://www.dovepress.com/effective-analysis-of-inpatient-satisfaction-the-random-forest-algorit-peer-reviewed-article-PPA

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https://www.dovepress.com/effective-analysis-of-inpatient-satisfaction-the-random-forest-algorit-peer-reviewed-article-PPA

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